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.
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.
€164.99
About the author
Vincent Couallier is Associate Professor at BordeauxSegalen University in France
Léo Gerville-Réache is Associate Professor at
Bordeaux 2 University in France.
Catherine Huber-Carol is Professor Emeritus at Paris
René Descartes University in France.
Nikolaos Limnios is Professor at Compiègne
University of Technology in France.
Mounir Mesbah is Professor at University Pierre and Marie
Curie in Paris, France.
Language English ● Format PDF ● Pages 432 ● ISBN 9781118827161 ● File size 3.6 MB ● Editor Vincent Couallier & Léo Gerville-Reache ● Publisher John Wiley & Sons ● Published 2013 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 2856622 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader
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