Posted by **step778** at March 29, 2016

1987 | pages: 109 | ISBN: 0691084742 | PDF | 3,4 mb

Posted by **libr** at Dec. 17, 2015

English | August 18, 2003 | ISBN-10: 0521833442 | 536 pages | PDF | 3.5 Mb

Posted by **ChrisRedfield** at April 13, 2015

Published: 2001-11-20 | ISBN: 3540426663 | PDF | 310 pages | 20 MB

Posted by **tanas.olesya** at Dec. 1, 2014

English | September 1, 1987 | ISBN: 0691084742 | 111 pages | PDF | 2 MB

Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount of Abraham Robinson's nonstandard analysis and not attempting to convert the results into conventional form.

Posted by **step778** at Oct. 23, 2014

2003 | pages: 411 | ISBN: 1441930620 | PDF | 9,2 mb

Posted by **interes** at Dec. 9, 2013

English | 2 edition | August 18, 2003 | ISBN-10: 0521833442 | 536 pages | PDF | 3.5 Mb

This fully revised and updated new edition of the well established textbook affords a clear introduction to the theory of probability. Topics covered include conditional probability, independence, discrete and continuous random variables, generating functions and limit theorems, and an introduction to Markov chains.

Posted by **step778** at July 15, 2013

1987 | pages: 111 | ISBN: 0691084742 | PDF | 3,4 mb

Posted by **Underaglassmoon** at Jan. 26, 2016

Springer | Probability Theory and Stochastic Processes | February 23, 2016 | ISBN-10: 3319072536 | 246 pages | pdf | 3.68 mb

Authors: Biagini, Francesca, Campanino, Massimo

Introduces as fundamental the concept of random numbers

Includes numerous exercises covering most topics treated in the theoretical part of the book

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

English | 12 Mar. 2003 | ISBN: 0387004254 | 390 Pages | PDF | 2 MB

This textbook on applied probability is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. It presupposes knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory.

Posted by **libr** at Sept. 7, 2014

English | ISBN: 0125984707 | 1997 | PDF | 704 pages | 18 mb

The Sixth Edition of this very successful textbook, Introduction to Probability Models, introduces elementary probability theory and stochastic processes. This book is particularly well-suited for those who want to see how probability theory can be applied to the study of phenomena in fields such as engineering, management science, the physical and social sciences, and operations research.