Posted by **kalyan1232008** at March 27, 2009

Springer; 1 edition | English | ISBN-792384393 | November 30, 1999 | 360 pages | PDF | 1MB

Applied Probability and Stochastic Processes is an edited work written in honor of Julien Keilson. This volume has attracted a host of scholars in applied probability, who have made major contributions to the field, and have written survey and state-of-the-art papers on a variety of applied probability topics, including, but not limited to: perturbation method, time reversible Markov chains, Poisson processes, Brownian techniques, Bayesian probability, optimal quality control, Markov decision processes, random matrices, queueing theory and a variety of applications of stochastic processes. The book has a mixture of theoretical, algorithmic, and application chapters providing examples of the cutting-edge work that Professor Keilson has done or influenced over the course of his highly-productive and energetic career in applied probability and stochastic processes. The book will be of interest to academic researchers, students, and industrial practitioners who seek to use the mathematics of applied probability in solving problems in modern society.

Posted by **leonardo78** at Aug. 23, 2016

English | 2007-11-28 | ISBN: 3540740104 | 228 pages | DJVU | 3,4 mb

Although three decades have passed since the first publication of this book, it is reprinted now as a result of popular demand.

Posted by **tanas.olesya** at July 25, 2016

English | 29 Nov. 2005 | ISBN: 0120885085 | 456 Pages | PDF | 2 MB

This book is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics.

Posted by **tanas.olesya** at May 15, 2016

English | May 15, 2003 | ISBN: 0387002111 | 451 Pages | PDF | 3 MB

"This book is a highly recommendable survey of mathematical tools and results in applied probability with special emphasis on queueing theory….The second edition at hand is a thoroughly updated and considerably expended version of the first edition….

Posted by **DZ123** at March 9, 2016

English | 1957 | ISBN: 0821813072 | DJVU | pages: 112 | 1,1 mb

Posted by **AlenMiler** at Feb. 15, 2016

English | Nov. 19, 2015 | ISBN: 1482232448 | 250 Pages | PDF (True) | 4.42 MB

Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence, exact sampling has evolved into perfect simulation, which enables high-dimensional simulation from interacting distributions.

Posted by **arundhati** at Dec. 27, 2015

2013 | ISBN-10: 9814513156 | 828 pages | PDF | 5 MB

Posted by **tanas.olesya** at Nov. 22, 2015

English | 11 Mar. 2003 | ISBN: 0471486957 | 478 Pages | PDF | 11 MB

The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the followâ€“up to the author s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences.

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 **nebulae** at Oct. 25, 2015

English | 2010-03-23 | ISBN: 0470053046 | 792 pages | PDF | 8,9 MB