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Probability and Random Processes
About this book
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.
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Information
Table of contents
- COVER
- TITLE PAGE
- TABLE OF CONTENTS
- PREFACE FOR THE SECOND EDITION
- PREFACE FOR THE FIRST EDITION
- 1 SETS, FIELDS, AND EVENTS
- 2 PROBABILITY SPACE AND AXIOMS
- 3 BASIC COMBINATORICS
- 4 DISCRETE DISTRIBUTIONS
- 5 RANDOM VARIABLES
- 6 CONTINUOUS RANDOM VARIABLES AND BASIC DISTRIBUTIONS
- 7 OTHER CONTINUOUS DISTRIBUTIONS
- 8 CONDITIONAL DENSITIES AND DISTRIBUTIONS
- 9 JOINT DENSITIES AND DISTRIBUTIONS
- 10 MOMENTS AND CONDITIONAL MOMENTS
- 11 CHARACTERISTIC FUNCTIONS AND GENERATING FUNCTIONS
- 12 FUNCTIONS OF A SINGLE RANDOM VARIABLE
- 13 FUNCTIONS OF MULTIPLE RANDOM VARIABLES
- 14 INEQUALITIES, CONVERGENCES, AND LIMIT THEOREMS
- 15 COMPUTER METHODS FOR GENERATING RANDOM VARIATES
- 16 ELEMENTS OF MATRIX ALGEBRA
- 17 RANDOM VECTORS AND MEAN-SQUARE ESTIMATION
- 18 ESTIMATION THEORY
- 19 RANDOM PROCESSES
- 20 CLASSIFICATION OF RANDOM PROCESSES
- 21 RANDOM PROCESSES AND LINEAR SYSTEMS
- 22 WIENER AND KALMAN FILTERS
- 23 PROBABILITY MODELING IN TRAFFIC ENGINEERING
- 24 PROBABILISTIC METHODS IN TRANSMISSION TOMOGRAPHY
- APPENDIX A A FOURIER TRANSFORM TABLES
- APPENDIX B CUMULATIVE GAUSSIAN TABLES
- APPENDIX C INVERSE CUMULATIVE GAUSSIAN TABLES
- APPENDIX D INVERSE CHI-SQUARE TABLES
- APPENDIX E INVERSE STUDENT-t TABLES
- APPENDIX F CUMULATIVE POISSON DISTRIBUTION
- APPENDIX G CUMULATIVE BINOMIAL DISTRIBUTION
- APPENDIX H COMPUTATION OF ROOTS OF D(z) = 0
- REFERENCES
- INDEX
- END USER LICENSE AGREEMENT