The Statistical Analysis Of Failure Time Data

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The Statistical Analysis of Failure Time Data

The Statistical Analysis of Failure Time Data
Author :
Publisher : John Wiley & Sons
Total Pages : 462
Release :
ISBN-10 : 9781118031230
ISBN-13 : 1118031237
Rating : 4/5 (237 Downloads)

Book Synopsis The Statistical Analysis of Failure Time Data by : John D. Kalbfleisch

Download or read book The Statistical Analysis of Failure Time Data written by John D. Kalbfleisch and published by John Wiley & Sons. This book was released on 2011-01-25 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains additional discussion and examples on left truncationas well as material on more general censoring and truncationpatterns. Introduces the martingale and counting process formulation swillbe in a new chapter. Develops multivariate failure time data in a separate chapterand extends the material on Markov and semi Markovformulations. Presents new examples and applications of data analysis.


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The Statistical Analysis of Failure Time Data
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Pages: 462
Authors: John D. Kalbfleisch
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Type: BOOK - Published: 2011-01-25 - Publisher: John Wiley & Sons

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Contains additional discussion and examples on left truncationas well as material on more general censoring and truncationpatterns. Introduces the martingale an
The Statistical Analysis of Failure Time Data
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Type: BOOK - Published: 2007-05-26 - Publisher: Springer

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This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first c
The Statistical Analysis of Failure Time Data
Language: en
Pages: 462
Authors: John D. Kalbfleisch
Categories: Mathematics
Type: BOOK - Published: 2002-09-09 - Publisher: John Wiley & Sons

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* Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns. * Introduces the marting
Analysis of Failure and Survival Data
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Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for pra