This book describes the inferential and modeling advantages that this distribution, together with its generalizations and modifications, offers. The exposition systematically unfolds with many examples, tables, illustrations, and exercises. A comprehensive index and extensive bibliography also make this book an ideal text for a senior undergraduate and graduate seminar on statistical distributions, or for a short half-term academic course in statistics, applied probability, and finance.
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From the reviews:
“This book will be useful for those who are interested in tractable models which allow one to go beyond the normal distribution.” (ISI SHORT BOOK REVIEWS)
“ A useful source of information for research in applied and theoretical statistics. No doubt, this volume will become a necessary part of any mathematical and statistical library as well as of a number of technical libraries.”(MATHEMATICAL REVIEWS)
“This book is devoted to presenting properties, generalizations and applications of the Laplace distribution ... This distribution is a natural and sometimes superior alternative to the normal distribution ... The rich set of exercises is an integral part of the discussion.”(ZENTRALBLATT MATH)
This work focuses on the importance of reviving the Laplace distribution and describes the inferential and modelling advantages which this distribution offers. The book shows that the Laplace distribution is useful in promoting an understanding of maximum likelihood estimation. There is a historical introducution to the subject followed by coverage of the univariate Laplace distribution, and the book provides many examples, problems and exercises that cover the subject.
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