Probability Distributions, Random Processes and Numerical Methods, for KTU 4th Semester
(Paperback)
Bindu Krishnan Dr. Remadevi S.,
Wiley (Publisher)
Published
2016
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Bindu Krishnan Dr. Remadevi S.,
Wiley (Publisher)
Ships within 2-4 days
Out Of Stock
The book meets the requirement of B.Tech. (IV semester) students for the course MA 204, Probability Distributions, Random Processes and Numerical Methods of APJ Abdul Kalam Technological University Kerala. The sixth chapter is adapted from the tenth edition of the bestselling title, Advanced Engineering Mathematics by Erwin Kreyszig. The text presents an elementary treatment of the subject and addresses the changing needs of a new generation of students. The aim of the book is to present the fundamentals of the subjects in the clearest possible way and pedagogy being the main consideration. Special Features •Exactly covers the syllabus of APJ Abdul Kalam Technological University. •All fundamentals of the included topics are very clearly explained. •Significant number of solved and unsolved questions. •Applications of the concepts explained in a lucid manner. Table of Content Preface About the Authors Syllabus 1. Discrete Probability Distributions 1.1 Random Variables 1.2 Mean and Variance of Discrete Probability Distribution 1.3 Binomial Distribution 1.4 Poisson Distribution 1.5 Distribution Fitting - Binomial and Poisson Distribution 2. Continuous Probability Distributions 2.1 Continuous Random Variables 2.2 The Normal Distribution 2.3 Uniform Distribution 2.4 Exponential Distribution 3. Joint Distributions 3.1 Joint Probability Distributions – Discrete and Continuous 3.2 Marginal Distributions 3.3 Independent Random Variables 3.4 Expectation Involving Two or More Random Variables 3.5 Covariance of Pairs of Random Variables 3.6 Central Limit Theorem (CLT) 4. Random Processes 4.1 Random Process or Stochastic Process 4.2 Wide-Sense Stationary (WSS) Process 4.3 Autocorrelation and Autocovariance Functions of WSS Processes 4.4 Power Spectral Density 5. Special Random Processes 5.1 Markov Chain 5.2 Chapman-Kolmogorov Theorem 5.3 Stationary Distribution for a Markov Chain 5.4 Poisson Process 6. Numerical Methods 6.1 Solution of Equations by Iteration 6.2 Interpolation 6.3 Numeric Integration 6.4 Numerical Solution of First-Order ODE Appendix A Table I Binomial Distribution Function Table II Poisson Distribution Function Table III Standard Normal Distribution Function Table IV Areas of a Standard Normal Distribution (Area from 0 to z) [Alternative Version of Table III]
