Epub Probability Paradox

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
Bukhara and the Muslims of Russia: Sufism, Education, and the Paradox of Islamic Prestige

Bukhara and the Muslims of Russia: Sufism, Education, and the Paradox of Islamic Prestige by Allen J Frank
English | 2012 | ISBN: 9004232885 | 215 Pages | PDF | 2.1 MB

In Bukhara and the Muslims of Russia Allen Frank examines the relationship of Tatars and Bashkirs with the city of Bukhara during the Russian Imperial era.

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

The Efficiency Paradox: What Big Data Can't Do [Audiobook]  eBooks & eLearning

Posted by First1 at April 17, 2018
The Efficiency Paradox: What Big Data Can't Do [Audiobook]

The Efficiency Paradox: What Big Data Can't Do [Audiobook] by Edward Tenner
English | April 17th, 2018 | ASIN: B07BTGYC9H | MP3@64 kbps | 11 hrs 34 mins | 318.45 MB
Narrator: Jason Culp

A bold challenge to our obsession with efficiency - and a new understanding of how to benefit from the powerful potential of serendipity.

The Efficiency Paradox: What Big Data Can't Do  eBooks & eLearning

Posted by First1 at April 17, 2018
The Efficiency Paradox: What Big Data Can't Do

The Efficiency Paradox: What Big Data Can't Do by Edward Tenner
English | April 17th, 2018 | ASIN: B07465FLY4, ISBN: 1400041392 | 320 Pages | EPUB | 1.09 MB

A bold challenge to our obsession with efficiency–and a new understanding of how to benefit from the powerful potential of serendipity
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
The Plant Paradox Cookbook: 100 Delicious Recipes to Help You Lose Weight, Heal Your Gut, and Live Lectin-Free

The Plant Paradox Cookbook: 100 Delicious Recipes to Help You Lose Weight, Heal Your Gut, and Live Lectin-Free by Dr. Steven R. Gundry, M.D.
English | April 10th, 2018 | ASIN: B074SGV8MV, ISBN: 0062843370 | 288 Pages | EPUB | 85.13 MB

From renowned cardiac surgeon and acclaimed author Dr. Steven R. Gundry, the companion cookbook to New York Times bestselling The Plant Paradox, offering 100 easy-to-follow recipes and four-color photos.

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.