Statistical Models and Methods for Reliability and Survival Analysis
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Bordeaux Segalen University
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Professor M. Nikulin
reliability analysis
S2MRSA conference
statistical goodness of fit
Statistical models
stochastic process for system reliability
survival analysis
Product details
- ISBN 9781848216198
- Weight: 771g
- Dimensions: 163 x 239mm
- Publication Date: 29 Nov 2013
- Publisher: ISTE Ltd and John Wiley & Sons Inc
- Publication City/Country: GB
- Product Form: Hardback
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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.
Vincent Couallier is Associate Professor at Bordeaux Segalen 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.
