The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics)
Editorial Reviews
Review
"…provides excellent exposure to the theory." (Journal of Statistical Computation and Simulation, June 2005)
"The book contains a wealth of material and analytic insight…will continue to be an invaluable resource for all researchers and graduate students in the field…for years to come." (Journal of the American Statistical Association, December 2003)
"...researchers in hazard function are likely to find new and valuable information in this book..." (Journal of Mathematical Psychology, Vol. 47 2003)
"Do you work in life statistics or reliability statistics? If so, you probably need this book...it contains everything you have ever wanted to know plus a lot more...the second edition...is a great book—improved, modernized, and comprehensive..." (Technometrics, Vol. 45, No. 3, August 2003)
"A review of the first edition, my first contribution to Short Book Reviews...stated 'This book should become a standard reference in the field.' In view of the undeniable accuracy of that prediction, need I say more?" (Short Book Reviews, Vol. 23, No. 2, August 2003)
Book Description
* 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.
The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics)
The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics),John D. Kalbfleisch,Ross L. Prentice,Wiley-Interscience,047136357X,Biometry,Failure time data analysis,Game Theory,Life Sciences - Biology - General,Mathematics,Probability & Statistics - General,Regression analysis,Science/Mathematics,Survival analysis (Biometry),Mathematics / Statistics,Probability & statistics
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