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A First Course In Probability 9th Edition Ross

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Introduction to Probability (2nd Edition)

Introduction to Probability (2nd Edition)

Introduction to Probability, 2nd Edition
by Dimitri P. Bertsekas and John N. Tsitsiklis

English | 2008 | ISBN: 188652923X | 544 pages | PDF | 16.95 MB

An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by about 25 percent. The main new feature of the 2nd edition is thorough introduction to Bayesian and classical statistics.

Author: caotungnam / Date: 22-12-2012, 10:37 / Comments: 0

Introduction to Probability, Second Revised Edition

Introduction to Probability, Second Revised Edition

Introduction to Probability, Second Revised Edition by Charles M. Grinstead and J. Laurie Snell

English | 2012 | ISBN: 0821894145 | ISBN-13: 9780821894149 | 510 pages | PDF | 2,5 MB


This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject.

Author: golemsonbi / Date: 23-06-2014, 02:13 / Comments: 0

Understanding Probability, 3rd Edition

Understanding Probability, 3rd Edition

Henk Tijms, "Understanding Probability (3rd Edition)"
English | ISBN: 110765856X | 2012 | PDF | 572 pages | 4.6 MB

Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus.

Author: caotungnam / Date: 2-03-2013, 16:09 / Comments: 0