Posted by **hill0** at Feb. 8, 2017

English | 16 Feb. 2017 | ISBN: 3319434756 | 559 Pages | PDF | 5.31 MB

The emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and versatile tools (Chernoff's bound, Hoeffding's inequality, Holley's inequality) whose domain of application extends first chapters give in considerable detail the background necessary to understand the rest of the book.

Posted by **fdts** at Oct. 20, 2014

by Hugh Gordon

English | 1997 | ISBN: 0387982272 | 267 pages | DJVU | 1.7 MB

Posted by **interes** at Oct. 13, 2017

English | 2012 | ISBN: 0821894145 | ISBN-13: 9780821894149 | 510 pages | PDF | 2,5 MB

Posted by **naag** at Oct. 8, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 13 | 314 MB

Infermath links mathematical theory with programming application to give high level understanding of quantitative fields

Posted by **FenixN** at March 20, 2013

Flash Video | MP4 / AVC, ~46 kb/s | 960x540 | Duration: N/A | English: AAC, 124 kb/s (2 ch) | Subtitles: English | + PDF Guides | 16.0 GB

These are full 6 to 10 week courses taught by some of the brightest professors in the world on campus at Stanford University. These classes contain the core curriculum on video, with supplemental info such as textbooks, quizzes, and knowledge bases on pdf files.

Posted by **step778** at April 24, 2018

1987 | pages: 1204 | ISBN: 0898715857 | DJVU | 19,6 mb

Posted by **AvaxGenius** at April 9, 2018

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.

Posted by **ksveta6** at Jan. 14, 2018

2011 | ISBN: 1577667301 | English | 671 pages | PDF | 16 MB

Posted by **Underaglassmoon** at June 17, 2017

Cambridge | English | 2017 | ISBN-10: 1107160154 | 600 pages | PDF | 26.61 mb

by Russell Lyons (Author), Yuval Peres (Author)

Posted by **ksveta6** at Feb. 16, 2017

2016 | ISBN: 1284070409 | English | 1040 pages | EPUB | 15 MB