Książki

This textbook is an introduction to lifetime data analysis aimed primarily at undergraduate and beginning graduate statistics students needing exposure to major topics of the subject, but not yet specializing in a particular application area such as engineering or the biomedical sciences. Unlike other textbooks at the same level, the work is oriented equally towards reliability and survival analysis.Featuring extensive exercises at all levels of difficulty employing well-known computing packages such as SAS and SYSTAT, the work presents real-world applications to the health sciences, manufacturing and industrial processes. The authors provide thorough explanations of methods and tests moving away from the "cookbook" approach commonly used in other textbooks at this level. A solutions manual will be available to instructors adopting the work as a course textbook.

An Introduction to Lifetime Data Analysis: Applications to the Health Sciences and Industrial Processes

Introduction.- Basic Concepts.- Models of Lifetime Data.- Examining Lifetime Data: Nonparametric Methods.- Fitting Parametric Lifetime Models.- Regression Models: Lifetime Data with Covariates.- Cox's Semiparametric Proportional Hazards Regression Model.- Recurrent Events and Repairable Systems.- System Reliability.- Bibliography.- Index