Life Time Data: Statistical Models And Methods

Deshpande, Jayant V./ Purohit, Sudha G.

ISBN 10: 981256697X / ISBN 13: 9789812566973

Edité par World Scientific Pub Co Inc, 2006

A propos de cet article

illustrated edition. 260 pages. 9.00x6.25x0.75 inches. In Stock.

N° de réf. du vendeur __981256697X

Détails bibliographiques

• Titre: Life Time Data: Statistical Models And Methods
• Éditeur: World Scientific Pub Co Inc
• Date de parution: 2006
• Langue: anglais
• ISBN à 10 chiffres: 981256697X
• ISBN à 13 chiffres: 9789812566973
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book.

Présentation de l'éditeur

“One of the main strengths of this book is that it introduces the public domain R software and nicely explains how it can be used in computations of methods presented in the book . . . the monograph would be useful to some applied researchers in related fields.” Technometrics “This book presents a very good background in the analysis of life time data in reliability studies in a very lucid and comprehensive manner . . . 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.” International Journal of Performability Engineering This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book.