Survival analysis is an important and widely used technique, particularly to those working in reliability, survival analysis, life testing, and engineering, as well as to probabilists and statisticians. The authors of Accelerated Life Models: Modeling and Statistical Analysis have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph details those accelerated life models. This treatment is valuable as both a high-level textbook and as a reference.

Zusammenfassung
Examines survival analysis models and explores areas of accelerated life testing usually only touched upon in the literature. This book focuses with time-varying explanatory variables and to methods of semiparametric estimation. It includes goodness-of-fit tests for the important models.

Inhalt
Introduction. Accelerated Life Models (ALT). Statistical Analysis of ALT Data Using Additive Accumulation of Damages (ADD). Statistical Analysis of ALT Data Using CHSH Models. Statistical Analysis of ALT Data Using GPH, GH, and GA. Models. ALT When a Process of Production is Unstable. Model Choice. Analysis of Degradation Data with Covariates. Accelerated Testing of Systems. Asymptotic Methods. Appendix.