Basic Probability Theory

Basic Probability Theory (repost)  eBooks & eLearning

Posted by libr at June 17, 2017
Basic Probability Theory (repost)

Basic Probability Theory by Robert B. Ash
English | 2008 | ISBN: 0486466280 , 0471034509 | 352 pages | PDF | 8,4 MB

Basic Probability Theory for Biomedical Engineers by John Enderle  eBooks & eLearning

Posted by tanas.olesya at Feb. 2, 2015
Basic Probability Theory for Biomedical Engineers by John Enderle

Basic Probability Theory for Biomedical Engineers (Synthesis Lectures on Biomedical Engineering) by John Enderle
English | Aug 1, 2006 | ISBN: 1598290606 | 136 Pages | PDF | 1 MB

This is the first in a series of short books on probability theory and random processes for biomedical engineers. This text is written as an introduction to probability theory.

Basic Probability Theory (repost)  eBooks & eLearning

Posted by interes at May 6, 2014
Basic Probability Theory (repost)

Basic Probability Theory by Robert B. Ash
English | 2008 | ISBN: 0486466280 , 0471034509 | 352 pages | PDF | 8,4 MB

Geared toward advanced undergraduates and graduate students, this introductory text surveys random variables, conditional probability and expectation, characteristic functions, infinite sequences of random variables, Markov chains, and an introduction to statistics. Complete solutions to some of the problems appear at the end of the book.

Basic Probability Theory with Applications [Repost]  eBooks & eLearning

Posted by ChrisRedfield at May 5, 2014
Basic Probability Theory with Applications [Repost]

Mario Lefebvre - Basic Probability Theory with Applications
Published: 2009-09-09 | ISBN: 0387749942, 1461429234 | PDF | 340 pages | 5 MB

Basic Probability Theory with Applications (repost)  eBooks & eLearning

Posted by interes at March 24, 2014
Basic Probability Theory with Applications (repost)

Basic Probability Theory with Applications by Mario Lefebvre
English | 2009 | ISBN: 0387749942 | 340 pages | PDF | 5,1 MB

This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory.

Probability Theory: An Advanced Course [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Oct. 23, 2016
Probability Theory: An Advanced Course [Repost]

Vivek S. Borkar - Probability Theory: An Advanced Course
Published: 2013-10-04 | ISBN: 038794558X | PDF | 138 pages | 3.51 MB

Probability on Trees and Networks  eBooks & eLearning

Posted by Underaglassmoon at June 17, 2017
Probability on Trees and Networks

Probability on Trees and Networks
Cambridge | English | 2017 | ISBN-10: 1107160154 | 600 pages | PDF | 26.61 mb

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

Subjective Probability: The Real Thing (repost)  eBooks & eLearning

Posted by libr at June 10, 2017
Subjective Probability: The Real Thing (repost)

Subjective Probability: The Real Thing by Richard C. Jeffrey
English | April 12, 2004 | ISBN: 0521829712 | Pages: 140 | PDF | 804 KB
Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling) [Repost]

Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling) by Olav Kallenberg
English | 18 May 2017 | ISBN: 3319415964 | 710 Pages | PDF | 5.32 MB

Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence,
Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling)

Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling) by Olav Kallenberg
English | 18 May 2017 | ISBN: 3319415964 | 710 Pages | PDF | 5.32 MB

Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence, stationarity, Palm measures, conditioning, and compensation. The three large final chapters