Probability, random variables, and stochastic processes

By:

Papoulis, Athanasios

Contributor(s):

Pillai, S Unnikrishna

Material type: Text

TextPublication details: New Delhi ; New York : Tata McGraw-Hill, 2002.Edition: 4th EditionDescription: x, 852 pages : illustrationsISBN:

9780070486584
0070486581

Subject(s):

Probabilities

DDC classification:

519.2 PAP

Contents:

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

Summary: Designed for graduate-level courses, this text has defined the course of study in probability theory, highly regarded for its strong mathematical orientation and comprehensive coverage. The book classifies topics in probability, random variables, and stochastic processes very logically, carefully incorporating a wide range of illustrations and applications. This edition contains a substantial revision of Parts II & III with greater emphasis on realistic methods of spectral estimation and analysis, and many new problems, examples and applications.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Lending Books	Main Library Stacks	Reference	519.2 PAP (Browse shelf(Opens below))	Available		008347

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Previous	519.2 MAT Probability & Statistics	519.2 MIL Introduction to probability and statistics : principles and applications for engineering and the computing sciences	519.2 NEW The Generation Of random Variates	519.2 PAP Probability, random variables, and stochastic processes	519.2 PRA A first course in probability and statistics	519.2 ROH An introduction to probability and statistics.	519.2 ROS A First Course In Probability	Next

Designed for graduate-level courses, this text has defined the course of study in probability theory, highly regarded for its strong mathematical orientation and comprehensive coverage. The book classifies topics in probability, random variables, and stochastic processes very logically, carefully incorporating a wide range of illustrations and applications. This edition contains a substantial revision of Parts II & III with greater emphasis on realistic methods of spectral estimation and analysis, and many new problems, examples and applications.

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