Statistical models and methods for lifetime data / Jerald F. Lawless.
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Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 519.5 LAS 2003 (Browse shelf(Opens below)) | Not For Loan | ||||
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EWU Library Reserve Section | Non-fiction | 519.5 LAS 2003 (Browse shelf(Opens below)) | C-1 | Not For Loan | 25725 | ||
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EWU Library Circulation Section | Non-fiction | 519.5 LAS 2003 (Browse shelf(Opens below)) | C-2 | Available | 25865 |
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519.5 KAS 2002 The statistical analysis of failure time data / | 519.5 KOS 2009 Statistical analysis of network data : | 519.5 KRH 2016 Handbook of statistical distributions with applications / | 519.5 LAS 2003 Statistical models and methods for lifetime data / | 519.5 LIB 1994 Basic statistics for business and economics / | 519.5 LIN 2008 Linear models and generalizations : | 519.5 LIS 2002 Statistical analysis with missing data / |
Includes bibliographical references (p. 577-610) and indexes.
TOC 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.
Summary:
"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."--BOOK JACKET.
AS
Tahur Ahmed
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