Posted by **AlenMiler** at Oct. 29, 2017

English | 28 Oct. 2017 | ASIN: B076YSVPJH | 92 Pages | AZW3 | 1.32 MB

Posted by **leonardo78** at Feb. 27, 2016

Publisher: Springer; 2nd edition | 1999 | ISBN: 0387988076 | 671 pages | PDF | 64,8 MB

This is a history of the use of Bayes theoremfrom its discovery by Thomas Bayes to the rise of the statistical competitors in the first part of the twentieth century. The book focuses particularly on the development of one of the fundamental aspects of Bayesian statistics, and …

Posted by **FenixN** at Aug. 25, 2015

14хDVDRip | AVI/XviD, ~1000 kb/s | 720x480 | Duration: 06:11:12 | English: MP3, 192 kb/s (2 ch) | + PDF Guide | 3.12 GB

Life is full of probabilities. Every time you choose something to eat, you deal with probable effects on your health. Every time you drive your car, probability gives a small but measurable chance that you will have an accident. Every time you buy a stock, play poker, or make plans based on a weather forecast, you are consigning your fate to probability.

Posted by **nebulae** at May 19, 2015

English | ISBN: 0956372848 | 2013 | 180 pages | PDF | 6 MB

Posted by **mapusi** at March 16, 2015

English | June 4, 1999 | ISBN: 0387988076 | 671 Pages | PDF | 65 MB

This is a history of the use of Bayes theoremfrom its discovery by Thomas Bayes to the rise of the statistical competitors in the first part of the twentieth century.

Posted by **tukotikko** at April 22, 2014

1991 | 516 Pages | ISBN: 1468404172 , 0387976205 | PDF | 17 MB

Posted by **advisors** at Nov. 26, 2013

1991 | 516 Pages | ISBN: 1468404172 , 0387976205 | PDF | 17 MB

Posted by **roxul** at Aug. 24, 2018

German | ISBN: 3662567814 | 2018 | 260 pages | PDF | 3 MB

Posted by **Maks_tir** at Aug. 18, 2018

English | ISBN: 0198503687 | 2000 | PDF | 472 pages | 14 MB

Posted by **AvaxGenius** at Aug. 13, 2018

This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint.