Wiley Series in Probability and Statistics Ser.: Statistical Analysis of Failure Time Data by John D. Kalbfleisch and R. L. Prentice (1980, Hardcover)

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About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John
ISBN-100471055190
ISBN-139780471055198
eBay Product ID (ePID)416818

Product Key Features

Number of Pages336 Pages
LanguageEnglish
Publication NameStatistical Analysis of Failure Time Data
SubjectProbability & Statistics / General
Publication Year1980
TypeTextbook
AuthorJohn D. Kalbfleisch, R. L. Prentice
Subject AreaMathematics
SeriesWiley Series in Probability and Statistics Ser.
FormatHardcover

Dimensions

Item Height1.1 in
Item Weight22.7 Oz
Item Length9.4 in
Item Width6.3 in

Additional Product Features

Edition Number1
Intended AudienceScholarly & Professional
LCCN79-021889
Dewey Edition21
TitleLeadingThe
Series Volume Number60
IllustratedYes
Dewey Decimal519.5
Table Of ContentFailure Time Models. Inference in Parametric Models and Related Topics. The Proportional Hazards Model. Likelihood Construction and Further Results on the Proportional Hazards Model. Inference Based on Ranks in the Accelerated Failure Time Model. Multivariate Failure Time Data and Competing Risks. Miscellaneous Topics. Appendixes: Some Sets of Data; Exercises and Further Results; Fortran Programs for the Proportional Hazards Model. Bibliography. Subject & Author Indexes.
SynopsisSynthesizes statistical models and methods for the analysis of failure time or ''survival'' data. Focuses on regression problems with survival data, specifically the estimation of regression coefficients and distributional shape in the presence of shaping. Deals with the theory, applications and extensions of the proportional hazards model. Includes worked examples and problems for solution., * Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns. * Introduces the martingale and counting process formulation swil lbe in a new chapter. * Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations. * Presents new examples and applications of data analysis.
LC Classification NumberQA276

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