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BACK TO BOOK REVIEWS

Detailed review of: 


Life Time Data: Statistical Models and Methods


 

Publishers

:

World Scientific Publishing Co. Inc., Singapore

 

Author

:

Jayant V. Deshpande and Sudha G. Purohit

 

Title

:

Life Time Data: Statistical Models and Methods

 

Year of Publication

:

2005

 

Pages:

:

247

 

ISBN

:

9812566074

 

Reviewer

:

Krishna B. Misra

 

Status

:

Review published in IJPE, Vol.5, No. 5, October 2009, p. 432. 


 

The book consists of 10 chapters as follows:


Chapter 1

Introduction

 11 Pages

Chapter 2

Aging

 23 Pages

Chapter 3

Some Parametric Families of Probability Distributions

 14 Pages

Chapter 4

Parametric Analysis of Survival Data

 48 Pages

Chapter 5

Non-parametric Estimation of the Survival Functions

 30 Pages

Chapter 6

Test for Exponentiality

 28 Pages

Chapter 7

Two Sample Non-parametric Problem

 18 Pages

Chapter 8

Proportional Hazards Model: A Method of Regression

 24 Pages

Chapter 9

Analysis of Competing Risks

 14 Pages

Chapter 10

Repairable Systems

 12 Pages

Appendix - A

Statistical Analyses using R

 10 pages

References

 

 6 Pages

Index

 

 3 Pages

 

This book, coming from experienced teachers of University of Pune, India, presents a very good background in the analysis of life time data in reliability studies in very lucid and comprehensive manner. The

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authors have been using the material presented in this book for teaching statistical methods and modelling to a number of students as one semester course. The concept of aging which is useful in modelling the life time distributions is covered in a very comprehensive manner. One chapter is devoted elucidating this concept. In fact this book competes well with the other excellent books such as "Statistical Models and Methods for Life time Data" by Lawless, J.F. et al and "Statistical Methods for Reliability Data" by Meeker, W.Q. et al  at least in theoretic development of models and is available at half the price of these two books. Chapters 4-6 and 9 are quite good. Although there are several commercial software available for statistical data analysis, such as SPSS, MINITAB etc., the book is further made quite useful by the authors by using the public domain software, namely R-commands available freely to students and researchers. For those who would like to know more about R-commands, a good introduction is available in a book - An Introduction to R by W. N. Venables, D.M. Smith and the R Development Core Team, ISBN 0954161742. This tutorial manual provides a comprehensive introduction to GNU R, a free software package for statistical computing and graphics.

The reviewer would like to recommend this book to all those (particularly engineers) who intend to know more about the statistical models available for handling life time data of products.

Krishna B. Misra


Review published in the International Journal of Performability Engineering, Vo. 5, No. 5, October 2009, p. 432.

 


This review has been published in the International Journal of Performability Engineering in Vol. 5 , No. 5, October , 2009 on page 432

 
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