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The Weibull Distribution
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The Weibull Distribution : A Handbook

Book Details

Format Hardback or Cased Book
ISBN-10 1420087436
ISBN-13 9781420087437
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture US
Country of Publication GB
Publication Date Nov 20th, 2008
Print length 808 Pages
Weight 1,624 grams
Dimensions 18.40 x 26.00 x 4.20 cms
Product Classification: Probability & statistics
Ksh 42,300.00
Werezi Extended Catalogue 0 in stock

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Using inferential procedures for estimating, testing, forecasting, and simulating data, this book shows how to solve statistical life science and engineering problems. It chronicles the development of the Weibull Distribution in Statistical Theory and Applied Statistics. It focuses on its origin, statistical properties, and related distributions.

The Most Comprehensive Book on the Subject

Chronicles the Development of the Weibull Distribution in Statistical Theory and Applied Statistics
Exploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions. The book also presents various approaches to estimate the parameters of the Weibull distribution under all possible situations of sampling data as well as approaches to parameter and goodness-of-fit testing.

Describes the Statistical Methods, Concepts, Theories, and Applications of This Distribution
Compiling findings from dozens of scientific journals and hundreds of research papers, the author first gives a careful and thorough mathematical description of the Weibull distribution and all of its features. He then deals with Weibull analysis, using classical and Bayesian approaches along with graphical and linear maximum likelihood techniques to estimate the three Weibull parameters. The author also explores the inference of Weibull processes, Weibull parameter testing, and different types of goodness-of-fit tests and methods.

Successfully Apply the Weibull Model
By using inferential procedures for estimating, testing, forecasting, and simulating data, this self-contained, detailed handbook shows how to solve statistical life science and engineering problems.


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