Statistical Models and Methods for Reliability and Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis

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Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts - Statistical Models and Methods, Statistical Models and Methods in Survival Analysis, and Reliability and Maintenance. The book is intended for researchers interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non-censored data.a€“If Ia tendsto infinity, theneach cycle ends with a failure. ... Further, thebehavior of the cost function depends onthe ratio of maintenance and failure cost. In Figure 21.3, some cost functions in dependence on Ia for different a are plotted. ... In such models, the impact of a maintenance (or a repair) action is not minimal (as bad as old) and not perfect (as good asnew) but lies between these boundarycases.


Title:Statistical Models and Methods for Reliability and Survival Analysis
Author: Vincent Couallier, Léo Gerville-Réache, Catherine Huber-Carol, Nikolaos Limnios, Mounir Mesbah
Publisher:John Wiley & Sons - 2013-12-11
ISBN-13:

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