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Statistical Distributions in Engineering - Karl V. Bury

Statistical Distributions in Engineering

Hardcover

Published: 13th January 1999
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Engineers face numerous uncertainties in the design and development of products and processes. To deal with the uncertainties inherent in measured information, they make use of a variety of statistical techniques. This outstanding text presents single-variable statistical distributions that are useful in engineering design and analysis. It lists significant properties of these distributions and describes methods for estimating parameters and their standard errors, constructing confidence intervals, testing hypotheses, and plotting data. Each distribution is worked through typical applications. Figures are used extensively to clarify concepts. Methods are illustrated by numerous fully worked examples in the form of Mathcad documents that readers can use as templates for their own data, eliminating the need for programming. Intended as both a text and reference, the book assumes an elementary knowledge of calculus and probability. Graduate and advanced undergraduate students, as well as practicing engineers and scientists, will be able to use this book to solve practical problems connected with the uncertainty assessment in a wide range of engineering contexts.

' ... the book is well structured and well written, particularly in the stand-alone chapters on the individual distributions ... In summary, if your work or graduate study involves the statistical analysis of engineering data, Statistical Distributions in Engineering provides a good value reference.' J. E. Cooper, Journal of Mechanical Engineering Science 'The book is well written, quite comprehensive and easy to follow. It is highly recommended for graduate students and researchers in engineering as well as practicing engineers and scientists who deal with uncertainty assessment in engineering contexts.' The American Statistician 'As a reference, the book could serve a great variety of readers, not limited to engineers only, but to all kinds of readers involved in the application of statistics and statistical modelling.' D. Christozov, Measuring Science Technology

Preface
Statistical Background
Introduction
Statistics
Inference
Discrete Distributions
Introduction to discrete distributions
Hypergeometric distributions
Binomial distributions
Negative binomial distributions
Poisson distributions
Continuous Distributions
Introduction to continuous distributions
Normal distributions
Log-Normal distributions
Exponential distributions
Gamma distributions
Beta distributions
Gumbel distributions
Frechet distributions
Weibull distributions
Index
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780521632324
ISBN-10: 0521632323
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 374
Published: 13th January 1999
Publisher: Cambridge University Press
Country of Publication: GB
Dimensions (cm): 26.67 x 18.42  x 2.54
Weight (kg): 0.84