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full_record_female.txt
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full_record_female.txt
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% python3 script.py
Copyright (C) 2020 Alexander Yuryatin
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Days to death: 90th percentile 16.0 selected to trim the most recent cases from the dataset
95th percentile 35.8
98th percentile 44.0
1654 cases were selected with 22 deaths
I started fitting the mortality data to Erf-derived function with signs x00 ++++++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
ML is -84.1247837560295153
I started fitting the mortality data to Erf-derived function with signs x01 -+++++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5505807501 now
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5494435827 now
vs. -83.5505807501, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5487517211 now
vs. -83.5494435827, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5482214266 now
vs. -83.5487517211, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5477710807 now
vs. -83.5482214266, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5474680402 now
vs. -83.5477710807, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5470819629 now
vs. -83.5474680402, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5467458696 now
vs. -83.5470819629, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5465146128 now
vs. -83.5467458696, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5463482514 now
vs. -83.5465146128, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5462162628 now
vs. -83.5463482514, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5460611349 now
vs. -83.5462162628, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5459497996 now
vs. -83.5460611349, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5458486156 now
vs. -83.5459497996, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5457783867 now
vs. -83.5458486156, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5456970965 now
vs. -83.5457783867, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5456167695 now
vs. -83.5456970965, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5455861862 now
vs. -83.5456167695, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5455530119 now
vs. -83.5455861862, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5455039899 now
vs. -83.5455530119, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5454757796 now
vs. -83.5455039899, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5454386884 now
vs. -83.5454757796, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5454149248 now
vs. -83.5454386884, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5453853625 now
vs. -83.5454149248, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5453692598 now
vs. -83.5453853625, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5453488296 now
vs. -83.5453692598, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
Fitting with precision 0.0010 again because slope ascending is too slow
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5453329032 now
vs. -83.5453488296, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0001
ML is -83.5453329032274041
I started fitting the mortality data to Erf-derived function with signs x02 +-++++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
ML is -84.1247837560295437
I started fitting the mortality data to Erf-derived function with signs x03 --++++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
ML is -179769313486231570814527423731704356798070567525844996598917476803157260780028538760589558632766878171540458953514382464234321326889464182768467546703537516986049910576551282076245490090389328944075868508455133942304583236903222948165808559332123348274797826204144723168738177180919299881250404026184124858368.0000000000000000
I started fitting the mortality data to Erf-derived function with signs x04 ++-+++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
ML is -84.1247837560295437
I started fitting the mortality data to Erf-derived function with signs x05 -+-+++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5529295848 now
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5501161357 now
vs. -83.5529295848, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5484310120 now
vs. -83.5501161357, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5473268018 now
vs. -83.5484310120, which was 20 lines above
***********************************************************************************
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5467479589 now
vs. -83.5473268018, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5464610143 now
vs. -83.5467479589, which was 20 lines above
***********************************************************************************
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
ML is -83.5464491573993513
I started fitting the mortality data to Erf-derived function with signs x06 +--+++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
ML is -inf
I started fitting the mortality data to Erf-derived function with signs x07 ---+++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0001
ML is -inf
I started fitting the mortality data to Erf-derived function with signs x08 +++-++++
Fitting with precision 1.0000
Fitting with precision 0.1000
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5551840398 now
***********************************************************************************
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 1.0000 again because slope ascending is too slow
Fitting with precision 0.1000
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
Fitting with precision 0.1000 again because slope ascending is too slow
Fitting with precision 0.0100
Fitting with precision 0.0010
Fitting with precision 0.0100 again because slope ascending is too slow
***********************************************************************************
If you start to suspect that your computer got into a dead loop
— Nope, the ML estimate is still increasing:
it is -83.5489889864 now
vs. -83.5551840398, which was 20 lines above
***********************************************************************************