
PROBABILITY RANDOM VARIABLES AND STOCHASTIC PROCESSES Papoulis/Pillai BOOK
US $28.98US $28.98
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PROBABILITY RANDOM VARIABLES AND STOCHASTIC PROCESSES Papoulis/Pilla i BOOK
US $28.98
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Located in: Beaverton, United States
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eBay item number:156975092945
Item specifics
- Condition
- Series
- Mathematical World Ser.
- Item Height
- 1.1 in
- Item Length
- 9.7 in
- Item Weight
- 40.2 Oz
- Item Width
- 6.8 in
- Number of Pages
- 594 Pages
- ISBN
- 9780071226615
About this product
Product Identifiers
Publisher
McGraw-Hill Publishing Company
ISBN-10
0071226613
ISBN-13
9780071226615
eBay Product ID (ePID)
177729556
Product Key Features
Publication Year
2002
Subject
Probability & Statistics / Stochastic Processes, Probability & Statistics / General
Publication Name
Probability, Random Variables and Stochastic Processes with Errata Sheet
Language
English
Features
Revised
Type
Textbook
Subject Area
Mathematics, Non-Classifiable
Format
Digital, Other
Additional Product Features
Edition Number
4
Edition Description
Revised edition
Table Of Content
Part 1 Probability and Random Variables 1 The Meaning of Probability 2 The Axioms of Probability 3 Repeated Trials 4 The Concept of a Random Variable 5 Functions of One Random Variable 6 Two Random Variables 7 Sequences of Random Variables 8 Statistics Part 2 Stochastic Processes 9 General Concepts 10 Random Walk and Other Applications 11 Spectral Representation 12 Spectral Estimation 13 Mean Square Estimation 14 Entropy 15 Markov Chains 16 Markov Processes and Queueing Theory
Synopsis
Intended for a senior/graduate level course in probability, this title is useful for students in electrical engineering, math, and physics departments. It aims to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest., The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.
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