Handbook of Exponential and Related Distributions for Engineers and Scientists

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Nabendu Pal (University of Louisiana at Lafayette, USA) Chun Jin (Central Connecticut State University, New Britain, USA)

Handbook of Exponential and Related Distributions for Engineers and Scientists

Nabendu Pal (University of Louisiana at Lafayette, USA), Chun Jin (Central Connecticut State University, New Britain, USA), Wooi K. Lim (William Paterson University, Wayne, New Jersey, USA)

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English

Chapman & Hall/CRC
30 June 2020

Psychological methodology; Mathematics; Biology, life sciences

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, Weibull, 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.

Presenting methods based on statistical simulations and numerical computations, the Handbook of Exponential and Related Distributions for Engineers and Scientists supplies hands-on tools for applied researchers in need of practical tools for data analysis.

By: Nabendu Pal (University of Louisiana at Lafayette USA), Chun Jin (Central Connecticut State University, New Britain, USA), Wooi K. Lim (William Paterson University, Wayne, New Jersey, USA)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367577964
ISBN 10: 0367577968
Pages: 372
Publication Date: 30 June 2020
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

GENERAL STATISTICAL THEORY. Basic Concepts. Some Common Probability Distributions. Concepts of Statistical Inference. Elements of Decision Theory. Computational Aspects. EXPONENTIAL AND OTHER POSITIVELY SKEWED DISTRIBUTIONS WITH APPLICATIONS. Exponential Distribution. Gamma Distribution. Weibull Distribution. Extreme Value Distributions. System Reliability. Bibliography. Selected Statistical Tables. Index.

Nabendu Pal, Chun Jin, Wooi K. Lim