Analysis of Failure and Survival Data

Peter F. Smith

254 pages, parution le 25/03/2002

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Résumé

Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves, hazard plots, and probability plots in the context of censored data. The author integrates S-Plus and Minitab output throughout the text, along with a variety of real data sets so readers can see how the theory and methods are applied. He also incorporates exercises in each chapter that provide valuable problem-solving experience. In addition to all of this, the book also brings to light the most recent linear regression techniques. Most importantly, it includes a definitive account of the Buckley-James method for censored linear regression, found to be the best performing method when a Cox proportional hazards method is not appropriate.Applying the theories of survival analysis and reliability requires more background and experience than students typically receive at the undergraduate level. Mastering the contents of this book will help prepare students to begin performing research in survival analysis and reliability and provide seasoned practitioners with a deeper understanding of the field.

Contents

Survival Distributions
Hazard Models
Reliability of Systems
Data Plots
Censoring and Lifetables
The Product-Limit Estimator
Parametric Survival Models Under Censoring
Parametric Regression Models
Cox Proportional Hazards
Linear Regression With Censored Data
Buckley-James Diagnostics And Applications

References
Index

L'auteur - Peter F. Smith

Peter Smith, Sheffield Hallam University, UK

Caractéristiques techniques

	PAPIER
Éditeur(s)	Chapman and Hall / CRC
Auteur(s)	Peter F. Smith
Parution	25/03/2002
Nb. de pages	254
Format	15,5 x 23,5
Couverture	Broché
Poids	380g
Intérieur	Noir et Blanc
EAN13	9781584880752
ISBN13	978-1-58488-075-2