Nikulin M.S., Limnios N., Balakrishnan N., Kahle W., Huber-Carol C. (eds.) Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance

Basel: Birkhäuser, 2010. — 435 p.This volume—dedicated to William Q. Meeker on the occasion of his sixtieth birthday—is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics, and finance.
Specific topics covered include:
Accelerated testing and inference
Step-stress testing and inference
Nonparametric inference
Model validity in accelerated testing
The point process approach
Bootstrap methods in degradation analysis
Exact inferential methods in reliability
Dynamic perturbed systems
Degradation models in statistics
Advances in Degradation Modeling is an excellent reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control, economics, and finance.Trends in the Statistical Assessment of Reliability
Degradation Processes: An Overview
Defect Initiation, Growth, and Failure – A General Statistical Model and Data Analyses
Properties of Lifetime Estimators Based on Warranty Data Consisting only of FailuresShock Models
Parametric Shock Models
Poisson Approximation of Processes with Locally Independent Increments and Semi-Markov Switching – Toward Application in Reliability
On Some Shock Models of DegradationThe Wiener Process as a Degradation Model: Modeling and Parameter Estimation
On the General Degradation Path Model: Review and Simulation
A Closer Look at Degradation Models: Classical and Bayesian Approaches
Optimal Prophylaxis Policy Under Non-monotone Degradation
Deterioration Processes With Increasing Thresholds
Failure Time Models Based on Degradation Processes
Degradation and Fuzzy Information
A New Perspective on Damage Accumulation, Marker Processes, and Weibull’s DistributionReliability Estimation of Mechanical Components Using Accelerated Life Testing Models
Reliability Estimation from Failure-Degradation Data with Covariates
Asymptotic Properties of Redundant Systems Reliability Estimators
An Approach to System Reliability Demonstration Based on Accelerated Test Results on ComponentsRobust Versus Nonparametric Approaches and Survival Data Analysis
Modelling Recurrent Events for Repairable Systems Under Worse Than Old Assumption
Survival Models for Step-Stress Experiments With Lagged Effects
Estimation of Density on Censored DataToward a Test for Departure of a Trajectory from a Neighborhood of a Chaotic System
Probability Plotting with Independent Competing Risks