Probability Distributions

With Truncated, Log and Bivariate Extensions

By: Nick T. Thomopoulos

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Paperback | 4 January 2019

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184 Pages

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23.5 x 15.5 x 0.99

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This volume presents a concise and practical overview of statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data. The left- and right-truncated normal distributions offer a wide variety of shapes in contrast to the symmetrically shaped normal distribution, and a newly developed spread ratio enables analysts to determine which of the three distributions best fits a particular set of sample data. The book will be highly useful to anyone who does statistical and probability analysis. This includes scientists, economists, management scientists, market researchers, engineers, mathematicians, and students in many disciplines.

Industry Reviews

"The book is clearly written, and makes it easy to read and comprehend the various issues related to probability distributions." (Sada Nand Dwivedi, ISCB News, iscb.info, Issue 66, December, 2018)
"The book gives a concise and practical overview of the commonly used distributions and statistical methods not presented in other publications. Table values and examples are provided as well. ... The book is free of theorems. It is intended for anyone who pursues statistical and probability analysis." (Oleg K. Zakusilo, zbMATH 1396.60003, 2018)

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