This book “Probability Distributions : A Comprehensive Approach” covers selected topics in Distribution theory that are sequenced to follow the understanding of advanced concepts and further explained with the examples and explanations in order to enhance the readability and understanding. Each topic in this book has been presented in a comprehensive manner in order to cross over to some advanced concepts gradually. The content of the book is good enough for self-study for students at Under Graduate and Post Graduate level.
KEY FEATURES
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The Book presents concepts in a concise and clear manner
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The Book has adequate basics need to learn/teach the content
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The Readability is enhanced via illustration at every chapter
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Every chapter has doable exercises to enhance the knowledge and enrich the working practice.
Dr. P. Dhanavanthan holds Ph.D degree in Statistics from University of Madras, Tamilnadu. He has over 33 years of teaching and research experience and has taught Distribution Theory at Masters Level at University of Madras and Pondicherry University since 1986. He has guided 10 Ph.d Students also. He has co-authored a book on Statistical Inference published by PHI, that is widely used in Indian Universities. Besides, he has published research papers in several national and Internation Journals.
K.M.Sakthivel, Ph.D., is currently serving as Professor in the Department of Statistics, Bharathiar University, Coimbatore, Tamilnadu. With the more than two decades of experience in the field of teaching and research, he published more than forty research papers in the national and international reputed journals. He also guided many students in Statistics leading to the degree M.Phil and Ph.D. He is life member of Indian Society for Probability and Statistics(ISPS), International Indian Statistical Association(IISA), Society for Statistics and Computer Applications(SSCA), Indian Bayesian Society (IBS) and Indian Association of Productivity, Quality and Reliability (IAPQR).
1 Probability and Random Variables
2 Functions of Random Variables
3 Characteristics of Distributions
4 Generating Functions
5 Discrete Probability Distributions
6 Continuous Probability Distributions
7 Pearsonian System of Distributions
8 Truncated Distributions
9 Compounding and Mixtures in Distributions
10 Infinitely Divisible Distributions
11 Convolution of Distributions
Appendix, Bibliography, Index
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