The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and the biological sciences. This book provides a unified treatment of the models and statistical methods of analyzing lifetime data. The second edition has been updated with the latest developments and applications of this important statistical tool. Series: Wiley Series in Probability and Statistics. Num Pages: 664 pages, references. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 243 x 162 x 41. Weight in Grams: 1086. . 2002. 2nd Edition. Hardcover. . . . .

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T�tulo: Statistical Models and Methods for Lifetime Data
Editor: John Wiley and Sons Ltd
Fecha de publicaci�n: 2002
Idioma: Ingl�s
ISBN 10: 0471372153
ISBN 13: 9780471372158
Encuadernaci�n: Encuadernaci�n de tapa dura
Edici�n: 2� Edici�n
Estado: New

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Sinopsis

Praise for the First Edition
"An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ."
-Choice
"This is an important book, which will appeal to statisticians working on survival analysis problems."
-Biometrics
"A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook."
-Statistics in Medicine
The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data.
Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts.
New and expanded coverage in this edition includes:
* Observation schemes for lifetime data
* Multiple failure modes
* Counting process-martingale tools
* Both special lifetime data and general optimization software
* Mixture models
* Treatment of interval-censored and truncated data
* Multivariate lifetimes and event history models
* Resampling and simulation methodology

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JERALD F. LAWLESS, PhD, is a professor and holder of the General Motors Canada-NSERC Industrial Research Chair in the Department of Statistics & Actuarial Science at the University of Waterloo, Ontario, Canada.

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