Hamming Probability

The Enterprise of Knowledge: Essay on Knowledge, Credal Probability and Chance  eBooks & eLearning

Posted by AlexGolova at April 25, 2018
The Enterprise of Knowledge: Essay on Knowledge, Credal Probability and Chance

The Enterprise of Knowledge: Essay on Knowledge, Credal Probability and Chance by I Levi
English | 1 Jan. 1983 | ISBN: 026262043X | 479 Pages | DJVU | 4.45 MB

The Art of Probability: For Scientists and Engineers (repost)  eBooks & eLearning

Posted by libr at May 18, 2017
The Art of Probability: For Scientists and Engineers (repost)

The Art of Probability: For Scientists and Engineers by Richard W. Hamming
English | ISBN: 0201510588 | 1991 | 344 pages | Djvu | 1,9 MB

The Art of Probability: For Scientists and Engineers (repost)  eBooks & eLearning

Posted by interes at April 17, 2014
The Art of Probability: For Scientists and Engineers (repost)

The Art of Probability: For Scientists and Engineers by Richard W. Hamming
English | ISBN: 0201510588 | 1991 | 344 pages | Djvu | 1,9 MB

This is a superb text for all current and future practitioners of statistics. Richard Hamming wrote this book with a clear pedagogical vision of how to approach the subject in a clear yet nontrivial manner. Particularly clear and deep coverage of generating functions cannot be found in any other book ever written.

Bayesian Argumentation: The practical side of probability (Repost)  eBooks & eLearning

Posted by DZ123 at April 26, 2018
Bayesian Argumentation: The practical side of probability (Repost)

Frank Zenker, "Bayesian Argumentation: The practical side of probability"
English | 2012 | ISBN: 940075356X | PDF | pages: 213 | 3.0 mb

Foundations of the Theory of Probability, 2nd Edition  eBooks & eLearning

Posted by arundhati at April 24, 2018
Foundations of the Theory of Probability, 2nd Edition

A.N. Kolmogorov, "Foundations of the Theory of Probability, 2nd Edition"
2018 | ISBN-10: 0486821595 | 96 pages | EPUB | 4 MB

Probability and Games  eBooks & eLearning

Posted by arundhati at April 24, 2018
Probability and Games

Bowen Kerins, Darryl Yong, "Probability and Games"
2017 | ISBN-10: 1470440636 | 137 pages | PDF | 46 MB

Breaking the Law of Averages: Real-Life Probability and Statistics in Plain English  eBooks & eLearning

Posted by step778 at April 20, 2018
Breaking the Law of Averages: Real-Life Probability and Statistics in Plain English

William M. Briggs, "Breaking the Law of Averages: Real-Life Probability and Statistics in Plain English"
2008 | pages: 203 | ISBN: 0557019907 | PDF | 2,1 mb
Geometry, Analysis and Probability: In Honor of Jean-Michel Bismut (Progress in Mathematics) [Repost]

Geometry, Analysis and Probability: In Honor of Jean-Michel Bismut (Progress in Mathematics) by Jean-Benoît Bost
English | 12 May 2017 | ISBN: 3319496360 | 372 Pages | PDF | 4.33 MB

Probability, Decisions and Games: A Gentle Introduction using R  eBooks & eLearning

Posted by roxul at April 11, 2018
Probability, Decisions and Games: A Gentle Introduction using R

Abel Rodríguez and Bruno Mendes, "Probability, Decisions and Games: A Gentle Introduction using R"
English | ISBN: 1119302609 | 2018 | 240 pages | PDF | 4 MB

Probability Distributions: With Truncated, Log and Bivariate Extensions  eBooks & eLearning

Posted by AvaxGenius at April 9, 2018
Probability Distributions: With Truncated, Log and Bivariate Extensions

Probability Distributions: With Truncated, Log and Bivariate Extensions By Nick T. Thomopoulos
English | PDF,EPUB | 2018 | 171 Pages | ISBN : 3319760416 | 4.4 MB

This volume presents a concise and practical overview of statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data.