Probability, random variables and stochastic processes / Athanasios Papoulis.

By:

Papoulis, Athanasios

Material type: Text

TextPublication details: [S.l.] : McGraw-Hill Europe, 2002.Edition: 4th edDescription: 852 p. ; 24 cmISBN:

0071226613 (paperback)
9780071226615 (paperback)

Online resources:

Amazon.com

Summary: 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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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	Department of Mechanical and Aerospace Engineering Library	NFIC	519.1 PAP (Browse shelf(Opens below))	Available	IAAP0030

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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Probability, random variables and stochastic processes / Athanasios Papoulis.