By William Q. Meeker (auth.), M.S. Nikulin, Nikolaos Limnios, N. Balakrishnan, Waltraud Kahle, Catherine Huber-Carol (eds.)

This volume—dedicated to William Q. Meeker at the get together of his 60th birthday—is a set of invited chapters protecting contemporary advances in sped up lifestyles trying out and degradation types. The publication covers quite a lot of functions to parts equivalent to reliability, quality controls, the wellbeing and fitness sciences, economics, and finance.

Specific subject matters lined include:

* speeded up checking out and inference

* Step-stress checking out and inference

* Nonparametric inference

* version validity in sped up testing

* the purpose procedure approach

* Bootstrap tools in degradation analysis

* distinctive inferential equipment in reliability

* Dynamic perturbed systems

* Degradation types in statistics

Advances in Degradation Modeling is a superb reference for researchers and practitioners in utilized likelihood and facts, commercial information, the well-being sciences, qc, economics, and finance.

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Extra resources for Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance

Example text

Simulation parameters . . . . . . . . . . . . . . . . . . . Simulation results (N in hours) . . . . . . . . . . . . . . . MLE estimations of model parameters . . . . . . . . . . . . Mean and standard deviation of MLE estimations after 20 repeatings . . . . . . . . . . . . . . . . . . . . . . . . . 6 Mean and standard deviation of MLE estimations after 20 repeatings for different censoring times . . . . . . . .

Plot of the wheel degradation data . . . . . . . . . . . . . . Probability plots for the pseudo failure distances . . . . . . . . Comparison of the parametric and nonparametric (Kaplan–Meier) estimates of RT (t) at each evaluation point . . . . . . . . . . 50 ) and confidence intervals obtained by each method of degradation data analysis (“classical” inference). Weibull distribution . . . . . . . . . . . .

50 ) and confidence intervals obtained by each method of degradation data analysis (“classical” inference). Lognormal distribution . . . . . . . . . . . . . . . . . . . Point estimates of R(300,000) and confidence intervals obtained by each method of degradation data analysis (“classical” inference). Weibull and lognormal distributions . . . . . . . . . . . . . 10 , and the mean covered distance, respectively. Weibull model . . . . . 10 and, the mean covered distance, respectively.

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