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The Weibull Bible

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Format
Paperback
Published
DEUTSCHLAND, 10 June 2022
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The Weibull Bible by Paul F. Watson, is a Weibull statistical analysis book presenting effective data analysis methods for engineers, geologists, agricultural scientists, medical researchers and others. When Standard Normal methods prove inadequate, Weibull analysis provides a powerful alternative. This book explains both how to do analysis and why these methods work. Powerful and newly developed methods including the Linear Conjecture and others are also explained and justified. Conceptual and mathematical explanations of why Weibull methods work are based on small data set examples. Meaningful concepts and method justification are explained without relying on advanced mathematics. Mathematical proofs and other reference material is provided in appendices.

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Product Description

The Weibull Bible by Paul F. Watson, is a Weibull statistical analysis book presenting effective data analysis methods for engineers, geologists, agricultural scientists, medical researchers and others. When Standard Normal methods prove inadequate, Weibull analysis provides a powerful alternative. This book explains both how to do analysis and why these methods work. Powerful and newly developed methods including the Linear Conjecture and others are also explained and justified. Conceptual and mathematical explanations of why Weibull methods work are based on small data set examples. Meaningful concepts and method justification are explained without relying on advanced mathematics. Mathematical proofs and other reference material is provided in appendices.

Product Details
EAN
9780578280615
ISBN
0578280612
Publisher
Dimensions
1.5 x 19.1 x 19.1 centimeters (0.55 kg)

About the Author

Paul F. Watson holds degrees in Physics and Mechanical Engineering from Lamar University in Beaumont Texas. Mr. Watson spent 35 years developing advanced aircraft in Texas and teaching overseas.

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By Anonymous on January 11, 2024
Step up New Zealand! Weibull Analysis is a great complement to the Gaussian distribution & handles many situations where the Gaussian is very unsatisfactory. Help me get this statistical approach into New Zealand. I welcome your review. Thanks, Paul F. Watson, author
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