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The Weibull Distribution: A Handbook

Autor Horst Rinne
en Limba Engleză Paperback – 30 iun 2020
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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Specificații

ISBN-13: 9780367577469
ISBN-10: 0367577461
Pagini: 808
Dimensiuni: 178 x 254 x 45 mm
Greutate: 1.58 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Professional

Cuprins

Preface. Genesis, Theory, and Description. Applications and Inference. Appendices. Bibliography. Indices.

Descriere

Compiling findings from many scientific journals and research papers, this handbook focuses on the origin, statistical properties, and related distributions of the Weibull distribution. It also presents various approaches to estimate the parameters of this distribution under all possible situations of sampling data as well as approaches to param