Probability, Random Variables and Stochastic Processes – Papoulis – 4th Edition

Description

The fourth edition of “, Random Variables and Stochastic ” has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic . The is intended for a senior/graduate level course in probability and is aimed at in , 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 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.

Table of Contents

PART I PROBABILITY AND RANDOM VARIABLES 1
Chapter 1 The Meaning of Probability
Chapter 2 The Axioms of Probability
Chapter 3 Repeated Trials
Chapter 4 The Concept of a Random Variable
Chapter 5 Functions of One Random Variable
Chapter 6 Two Random Variables
Chapter 7 Sequences of Random Variables
Chapter 8 Statistics
PART II STOCHASTIC PROCESSES
Chapter 10 Random Walks and Other Applications
Chapter 11 Spectral Representation
Chapter 12 Spectrum Estimation
Chapter 13 Mean Square Estimation
Chapter 14 Entropy
Chapter 15 Markov Chains
Chapter 16 Markov Processes and Queueing Theory
Bibliography
Index
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