Author Description

Handbook of Exponential and Related Distributions for Engineers and Scientists, The normal distribution is widely Known and used by scientists and engineers. However, there are many cases when the normal distribution is not appropriate, due to the data being skewed. Rather than leaving you to search through journal articles, advanced theoretical monographs, or introductory texts for alternative Distributions, the Handbook of Exponential and Related Distributions for Engineers and Scientists provides a concise, carefully selected presentation of the properties and principles of selected distributions that are most useful for application in the sciences and engineering. The book begins with all the basic mathematical and statistical background necessary to select the correct distribution to model real-world data sets. This includes inference, decision theory, and computational aspects including, the popular Bootstrap method. The authors then examine four skewed distributions in detail: exponential, gamma, Weibufl, and extreme value. For each one, they discuss general properties and applicability to example data sets, theoretical characterization, estimation of parameters and related inferences, and goodness of fit tests. The final chapter deals with system reliability for series and parallel systems. Collecting the tools necessary for immediate application, this book... Provides a complete, concise guide to exponential, gamma, Weibull, and extreme value distributions for immediate application, Builds a foundation in basic mathematics and statistics before discussing the particulars of the distributions, Uses many simulations and approximately 100 figures and graphs to illustrate the concepts, Provides algorithmic steps that can be used to perform many of the simulations in the book, Includes real data sets and many recent research results Book jacket.