Probability Random Variables And Stochastic Processes
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Probability, Random Variables, and Stochastic Processes
Author: Athanasios Papoulis
language: en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date: 1991
The Third Edition emphasizes a concentrated revision of Parts II & III (leaving Part I virtually intact). The later sections show greater elaboration of the basic concepts of stochastic processes, typical sequences of random variables, and a greater emphasis on realistic methods of spectral estimation and analysis. There are problems, exercises, and applications throughout. Aimed at senior/graduate students in electrical engineering, math, and physics departments.
Probability, random variables, and stochastic processes
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.
An Introduction to Probability and Stochastic Processes
Author: James L. Melsa
language: en
Publisher: Courier Corporation
Release Date: 2013-01-01
Detailed coverage of probability theory, random variables and their functions, stochastic processes, linear system response to stochastic processes, Gaussian and Markov processes, and stochastic differential equations. 1973 edition.