Posted by **libr** at Dec. 11, 2015

English | 2010 | eISBN: 1935983024, 9781935983026 | 570 pages | epub | 9 MB

Posted by **tanas.olesya** at Jan. 10, 2015

English | Nov 10, 2006 | ISBN: 1598291505 | 108 Pages | PDF | 0.8 MB

This is the third in a series of short books on probability theory and random processes for biomedical engineers. This book focuses on standard probability distributions commonly encountered in biomedical engineering.

Posted by **interes** at Nov. 28, 2013

English | 2010 | eISBN: 1935983024, 9781935983026 | 570 pages | epub | 9 MB

CK-12 Foundation's Advanced Probability and Statistics, Volume 1 FlexBook covers the following six chapters: An Introduction to Analyzing Statistical Data - Students learn definitions of statistical terminology, and review data, measures of center, and measures of spread.

Posted by **arundhati** at April 7, 2017

2010 | ISBN-10: 1441957790 | 450 pages | PDF | 4 MB

Posted by **interes** at Dec. 13, 2016

English | 2013 | ISBN: 1439875901 | 473 pages | PDF | 15 MB

Posted by **Willson** at Dec. 1, 2016

English | 2015 | ISBN: 1482219751 | 524 pages | PDF | 9.6 MB

Posted by **interes** at Dec. 2, 2015

English | 2007 | ISBN: 0979570409 | 212 pages | scanned PDF | 9,5 MB

Posted by **nebulae** at June 2, 2015

English | ISBN: 1439827680 | 2012 | 199 pages | PDF | 1 MB

Posted by **arundhati** at April 17, 2015

Posted by **MoneyRich** at Sept. 28, 2014

Pekozbooks | May 1, 2007 | English | ISBN: 0979570409 | 212 pages | DJVU | 3 MB

The 2006 INFORMS Expository Writing Award-winning and best-selling author Sheldon Ross (University of Southern California) teams up with Erol Peköz (Boston University) to bring you this textbook for undergraduate and graduate students in statistics, mathematics, engineering, finance, and actuarial science. This is a guided tour designed to give familiarity with advanced topics in probability without having to wade through the exhaustive coverage of the classic advanced probability theory books. Topics include measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these advanced topics rigorously but at such an accessible level; all you need is calculus and material from a first undergraduate course in probability.