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Reliability Statistics
Statistical Methods for Reliability Data
Book •
This book provides a comprehensive guide to statistical methods for reliability analysis.
It covers various techniques for modeling and analyzing reliability data, including methods for handling small sample sizes.
The authors present both classical and Bayesian approaches, offering readers a broad perspective on reliability assessment.
The book is widely used as a reference text in reliability engineering courses and is considered a valuable resource for practitioners in the field.
It includes numerous examples and case studies to illustrate the application of the methods discussed.
The book also explores advanced topics such as accelerated life testing and reliability modeling for complex systems.
It covers various techniques for modeling and analyzing reliability data, including methods for handling small sample sizes.
The authors present both classical and Bayesian approaches, offering readers a broad perspective on reliability assessment.
The book is widely used as a reference text in reliability engineering courses and is considered a valuable resource for practitioners in the field.
It includes numerous examples and case studies to illustrate the application of the methods discussed.
The book also explores advanced topics such as accelerated life testing and reliability modeling for complex systems.
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as a book with chapters about dealing with small samples and Bayesian approaches.


Fred Schenkelberg

Dealing with Small Sample Sizes