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Lifetime Data (2nd Ed)

by Deshpande Jayant V

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Methods for analyzing lifetime data

$82.27 USD
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Hardcover New English

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AlbakiReads Editorial

Methods for analyzing lifetime data

Designed for postgraduate study and research, this statistics text examines lifetime data in reliability and survival analysis, with applications spanning engineering and medical statistics. It gives particular attention to ageing and how that concept informs model choice, including an emphasis on tests of exponentiality. Other topics include competing risks and repairable systems. The second edition adds sections on frailty models and accelerated lifetime models, along with additional illustrations and exercises. It also introduces public-domain R software and explains its use in computations for the methods discussed, connecting statistical concepts with practical analysis.

Good fit for readers who enjoy

  • Postgraduate students studying reliability or survival analysis
  • Researchers choosing models and methods for lifetime-data analysis
  • Readers seeking examples and R-based computations alongside statistical methods

Themes

Lifetime data analysisAgeing and model choiceTests of exponentialityCompeting risks and repairable systemsR software for statistical computation

Based on publisher information and book metadata.

Book overview

 

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book.

This new edition includes new sections on Frailty Models and Accelerated Life Time Models. Many more illustrations and exercises are also included.

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