CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications / Edition 1

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Overview

First derived within the context of life-testing, inverse Gaussian distribution has become one of the most important and widely employed distributions, and is often used to model the lifetimes of components. It is also used as a model in many varied applications, including fatigue analysis, economic prediction analysis, and the analysis of extreme events such as rainfall and flood levels. The interesting features and properties of this distribution make it an important and realistic model in a variety of problems across numerous disciplines.
Because of the broad range of applications, this handbook will be useful not only to members of the statistical community but will also appeal to applied scientists, engineers, econometricians, and anyone who desires a thorough evaluation of this important topic.

"...discusses models, properties, shapes, & applications in different fields; order statistics arising from inverse Gaussian distributions; numerical integration methods compu- ting the means, variances, & covariances of order; etc."

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Editorial Reviews

Booknews
For members of the statistical community and scientists, engineers, econometricians, and others, explains inverse Gaussian distribution, which has expanded from its original use with particle physics and is now used to model the lifetimes of components, fatigue analysis, economic prediction, and the analysis of extreme events such as rainfall and flood levels. Describes the models, their properties, shapes, and applications in different fields; and the numerical integration methods used to compute the means, variances, and covariances of order statistics. About 600 pages contain tables of quantities, which are applied to real-life data sets. No index. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780849331183
  • Publisher: CRC Press
  • Publication date: 7/30/1997
  • Edition number: 1
  • Pages: 704
  • Product dimensions: 7.31 (w) x 10.23 (h) x 1.71 (d)

Table of Contents

Introduction
Inverse Gaussian Distribution and Properties
Order Statistics and Properties
Calculation of Moments and Tables
Illustrations of the Use of Tables
Applications
Bibliography
Tables
Indices

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