Posted by **roxul** at July 8, 2017

2010 | ISBN: 3642051553 | 397 pages | PDF | 3 MB

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

2010 | ISBN: 3642051553 | 397 pages | PDF | 3 MB

Posted by **interes** at Dec. 30, 2016

English | 2016 | ISBN: 1482257645 | 576 pages | PDF | 5 MB

Posted by **tanas.olesya** at June 25, 2015

English | Oct. 12, 2012 | ISBN: 1461373646 | 351 Pages | PDF | 11 MB

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,…

Posted by **fdts** at May 14, 2014

by Richard M. Feldman, Ciriaco Valdez-Flores

English | 2010 | ISBN: 3642051553 | 397 pages | PDF | 2.89 MB

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 **roxul** at May 27, 2017

2012 | ISBN: 1118294408 | 614 pages | PDF | 11 MB

Posted by **AvaxGenius** at Nov. 26, 2017

English | PDF,EPUB | 2017 (2018 Edition) | 277 Pages | ISBN : 3319680749 | 9.7 MB

This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems.

Posted by **arundhati** at Aug. 24, 2016

2014 | ISBN-10: 1118324560 | 544 pages | PDF | 110 MB

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.