Probability and Random Processes

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John Wiley & Sons, Jul 15, 2015 - Mathematics - 528 pages

The second edition enhanced with new chapters, figures, and appendices to cover the new developments in applied mathematical functions

This book examines the topics of applied mathematical functions to problems that engineers and researchers solve daily in the course of their work. The text covers set theory, combinatorics, random variables, discrete and continuous probability, distribution functions, convergence of random variables, computer generation of random variates, random processes and stationarity concepts with associated autocovariance and cross covariance functions, estimation theory and Wiener and Kalman filtering ending with two applications of probabilistic methods. Probability tables with nine decimal place accuracy and graphical Fourier transform tables are included for quick reference. The author facilitates understanding of probability concepts for both students and practitioners by presenting over 450 carefully detailed figures and illustrations, and over 350 examples with every step explained clearly and some with multiple solutions.

Additional features of the second edition of Probability and Random Processes are:

  • Updated chapters with new sections on Newton-Pepys’ problem; Pearson, Spearman, and Kendal correlation coefficients; adaptive estimation techniques; birth and death processes; and renewal processes with generalizations
  • A new chapter on Probability Modeling in Teletraffic Engineering written by Kavitha Chandra
  • An eighth appendix examining the computation of the roots of discrete probability-generating functions

With new material on theory and applications of probability, Probability and Random Processes, Second Edition is a thorough and comprehensive reference for commonly occurring problems in probabilistic methods and their applications.

 

Contents

Chapter 1 Sets Fields and Events
1
Chapter 2 Probability Space and Axioms
7
Chapter 3 Basic Combinatorics
16
Chapter 4 Discrete Distributions
23
Chapter 5 Random Variables
45
Chapter 6 Continuous Random Variables and Basic Distributions
54
Chapter 7 Other Continuous Distributions
63
Chapter 8 Conditional Densities and Distributions
78
Chapter 16 Elements of Matrix Algebra
181
Chapter 17 Random Vectors and MeanSquare Estimation
196
Chapter 18 Estimation Theory
212
Chapter 19 Random Processes
250
Chapter 20 Classification of Random Processes
320
Chapter 21 Random Processes and Linear Systems
383
Chapter 22 Wiener and Kalman Filters
413
Chapter 23 Probability Modeling in Traffic Engineering
437

Chapter 9 Joint Densities and Distributions
85
Chapter 10 Moments and Conditional Moments
91
Chapter 11 Characteristic Functions and Generating Functions
108
Chapter 12 Functions of a Single Random Variable
118
Chapter 13 Functions of Multiple Random Variables
135
Chapter 14 Inequalities Convergences and Limit Theorems
155
Chapter 15 Computer Methods for Generating Random Variates
169
Chapter 24 Probabilistic Methods in Transmission Tomography
452
Appendix
463
References
495
Index
498
EULA
507
Copyright

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About the author (2015)

Venkatarama Krishnan, PhD., is Professor Emeritus in the Department of Electrical and Computer Engineering at the University of Massachusetts at Lowell. He has served as a consultant to the Dynamics Research Corporation, the U.S. Department of Transportation, and Bell Laboratories. Dr. Krishnan’s research includes estimation of steady-state queue distribution, tomographic imaging, aerospace, control, communications, and stochastic systems. Dr. Krishnan is a senior member of the IEEE and listed in Who is Who in America.

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