Statistical Models and Methods for Reliability and Survival Analysis

Zusatztext

<i>Statistical Models and Methods for Reliability and Survival Analysis</i> 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.<p>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.</p>

Autorenportrait

<p><b>Vincent Couallier</b> is Associate Professor at Bordeaux Segalen University in France</p><p><b>Léo Gerville-Réache</b> is Associate Professor at Bordeaux 2 University in France.</p><p><b>Catherine Huber-Carol</b> is Professor Emeritus at Paris René Descartes University in France.</p><p><b>Nikolaos Limnios</b> is Professor at Compiègne University of Technology in France.</p><p><b>Mounir Mesbah</b> is Professor at University Pierre and Marie Curie in Paris, France.</p>

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