Introduction to probability theory and stochastic processes / John Chiasson.
Material type:
TextPublication details: New Jersey : John Wiley, c2013.Description: xxii, 959 p. : illustrations ; 25 cmISBN: - 9781118382790 (pbk.)
- 519.2 23 C532
| 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 |
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| 519.2 C462 Elementary probability models and statistical inference | 519.2 C495 Superconcentration and related topics / | 519.2 C516 Markov random fields | 519.2 C532 Introduction to probability theory and stochastic processes / | 519.2 C543 Stochastic geometry and its applications / | 519.2 C552 Probability theory | 519.2 C552 Great expectations |
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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