Advances in Degradation Modeling: Applications to by William Q. Meeker (auth.), M.S. Nikulin, Nikolaos Limnios, PDF

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

ISBN-10: 0817649239

ISBN-13: 9780817649234

This volume—dedicated to William Q. Meeker at the party 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 purposes to parts equivalent to reliability, quality controls, the health and wellbeing sciences, economics, and finance.

Specific issues coated include:

* speeded up checking out and inference

* Step-stress checking out and inference

* Nonparametric inference

* version validity in sped up testing

* the purpose method approach

* Bootstrap tools in degradation analysis

* distinctive inferential tools in reliability

* Dynamic perturbed systems

* Degradation types in statistics

Advances in Degradation Modeling is a wonderful reference for researchers and practitioners in utilized chance and data, business information, the well-being sciences, quality controls, economics, and finance.

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Additional info for Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance

Sample text

Interval and point estimates obtained by each method . . . . . Bayesian estimates of the quantities of interest and 95% HPD regions (prior: Weibull distribution) . . . . . . . . . . . . . . . . . Bayesian estimates of the quantities of interest and 95% HPD regions (prior: lognormal distribution) . . . . . . . . . . . . . . . . Ball bearing parameters . . . . . . . . . . . . . . . . . . Simulation parameters .

Mean annual failure rate per km of length during 1976–1985: black, 1986–1995: darkgrey, 1996–2006: lightgrey . . . . . . . . . . . Number of monthly failures over the period 1976–2006, the failures of the year 1996 in black . . . . . . . . . . . . . . . . . . . Cumulat number of observed failures (in grey), predicted failures using the complete model (plain black line) and the reduced model (dotted line) . . . . . . . . . . . .

Cumulat number of observed failures (in grey), predicted failures using the complete model (plain black line) and the reduced model (dotted line) . . . . . . . . . . . . . . . . . . . . . . . . Prediction error in 10-day periods (real failures – predicted failures) calculated using the complete model (plain line) and reduced model (dotted line) . . . . . . . . . . . . . . . . . . . . . . . . Cumulative hazard functions of cumulative exposure and cumulative risk models .

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Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance by William Q. Meeker (auth.), M.S. Nikulin, Nikolaos Limnios, N. Balakrishnan, Waltraud Kahle, Catherine Huber-Carol (eds.)


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