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Introduction to probability theory and stochastic processes / John Chiasson.

By: Material type: TextTextPublication details: New Jersey : John Wiley, c2013.Description: xxii, 959 p. : illustrations ; 25 cmISBN:
  • 9781118382790 (pbk.)
Subject(s): DDC classification:
  • 519.2 23 C532
Contents:
1 Coin Tossing-- 2 Countable Sample Spaces-- 3 Conditional Probability in Countable Sample Spaces-- 4. Uncountable Sample Spaces-- 5 Continuous Random Variables-- 6 Expectation-- 7 Modeling Random Phenomena-- 8 Functions of One Random Variables and Transforms-- 9 Functions of Two Random Variables-- 10 Two Functions of Two Random Variables-- 11 Conditional Probability for Continuous Random Variables-- 12 Random Vectors-- 13 Bernoulli, Geometric, and Poisson Processes-- 14 Brownian Motions and White Noise-- 15 Stationary Random Processes-- 16 Convergence of Random Variables-- 17 Statistics-- 18 Kalman Filter-- Further Reading-- Table of Common Distributions-- References-- Index.
Summary: This comprehensive textbook provides an introduction to statistical methods for graduate engineers offering thorough coverage of important probability-related topics to aid in product and system design, reliability engineering, quality control, and more.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 519.2 C532 (Browse shelf(Opens below)) Available 135942
Total holds: 0

Includes bibliographical references and index.

1 Coin Tossing--
2 Countable Sample Spaces--
3 Conditional Probability in Countable Sample Spaces--
4. Uncountable Sample Spaces--
5 Continuous Random Variables--
6 Expectation--
7 Modeling Random Phenomena--
8 Functions of One Random Variables and Transforms--
9 Functions of Two Random Variables--
10 Two Functions of Two Random Variables--
11 Conditional Probability for Continuous Random Variables--
12 Random Vectors--
13 Bernoulli, Geometric, and Poisson Processes--
14 Brownian Motions and White Noise--
15 Stationary Random Processes--
16 Convergence of Random Variables--
17 Statistics--
18 Kalman Filter--
Further Reading--
Table of Common Distributions--
References--
Index.

This comprehensive textbook provides an introduction to statistical methods for graduate engineers offering thorough coverage of important probability-related topics to aid in product and system design, reliability engineering, quality control, and more.

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