Jerald F. Lawless

Statistical Models and Methods for Lifetime Data (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 664
• Erscheinungstermin: 26. Januar 2011
• Englisch
• ISBN-13: 9781118031254
• Artikelnr.: 37484857

Autorenporträt

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.

Inhaltsangabe

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
for Log-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 Order Statistics. Appendix C. Large Sample Theory for
Likelihood and Estimating Function 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.