Lawless Statistical Models and Methods for Lifetime Data

2. Auflage 2011
ISBN: 978-1-118-03125-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 664 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Praise for the First Edition
"An indispensable addition to any serious collection on lifetimedata analysis and . . . a valuable contribution to the statisticalliterature. Highly recommended . . ."
-Choice
"This is an important book, which will appeal to statisticiansworking on survival analysis problems."
-Biometrics
"A thorough, unified treatment of statistical models and methodsused in the analysis of lifetime data . . . this is a highlycompetent and agreeable statistical textbook."
-Statistics in Medicine
The statistical analysis of lifetime or response time data is a keytool in engineering, medicine, and many other scientific andtechnological areas. This book provides a unified treatment of themodels and statistical methods used to analyze lifetime data.
Equally useful as a reference for individuals interested in theanalysis of lifetime data and as a text for advanced students,Statistical Models and Methods for Lifetime Data, Second Editionprovides broad coverage of the area without concentrating on anysingle field of application. Extensive illustrations and examplesdrawn from engineering and the biomedical sciences provide readerswith 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 optimizationsoftware
* Mixture models
* Treatment of interval-censored and truncated data
* Multivariate lifetimes and event history models
* Resampling and simulation methodology

Autoren/Hrsg.

Lawless, Jerald F.

Inhaltsverzeichnis

Basic Concepts and Models.
Observation Schemes, Censoring and Likelihood.
Some Nonparametric and Graphical Procedures.
Inference Procedures for Parametric Models.
Inference procedures for Log-Location-Scale Distributions.
Parametric Regression Models.
Semiparametric Multiplicative Hazards Regression Models.
Rank-Type and Other Semiparametric Procedures forLog-Location-Scale Models.
Multiple Modes of Failure.
Goodness of Fit Tests.
Beyond Univariate Survival Analysis.
Appendix A. Glossary of Notation and Abbreviations.
Appendix B. Asymptotic Variance Formulas, Gamma Functions and OrderStatistics.
Appendix C. Large Sample Theory for Likelihood and EstimatingFunction Methods.
Appendix D. Computational Methods and Simulation.
Appendix E. Inference in Location-Scale Parameter Models.
Appendix F. Martingales and Counting Processes.
Appendix G. Data Sets.
References.

Über Autor(innen)

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