Probability and Stochastic Modeling (Hardcover)

Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability texts, the book also focuses on increasingly important areas, such as martingales, classification of dependency structures, and risk evaluation. Numerous examples, exercises, and models using real-world data demonstrate the practical possibilities and restrictions of different approaches and help students grasp general concepts and theoretical results. The text is suitable for majors in mathematics and statistics as well as majors in computer science, economics, finance, and physics. The author offers two explicit options to teaching the material, which is reflected in "routes" designated by special "roadside" markers. The first route contains basic, self-contained material for a one-semester course. The second provides a more complete exposition for a two-semester course or self-study.

General

Imprint:	Taylor & Francis
Country of origin:	United States
Release date:	August 2021
First published:	2012
Authors:	Vladimir I Rotar
Dimensions:	254 x 178 x 30mm (L x W x T)
Format:	Hardcover
Pages:	512
ISBN-13:	978-1-4398-7206-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN:	1-4398-7206-6
Barcode:	9781439872062

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