Probability Models in Reliability Analysis

Mukherjee, S. P.; Nanda, Asok K.

ISBN 10: 9819630487 ISBN 13: 9789819630486
Editorial: Springer, 2025
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Sinopsis:

This book delves into the fundamental theoretical aspects of reliability analysis, focusing on various probabilistic models. It should be noted, however, As stated clearly in the preface, this book does not illustrate applications of the models discussed in terms of real-life data.

Acerca del autor:

Asok K. Nanda is Professor and former Head of the Department of Mathematics and Statistics and former Dean of Academic Affairs, at the Indian Institute of Science Education and Research (IISER) Kolkata, West Bengal, India. He is a former member of the Board of Governors, IISER Kolkata. He had visited the University of Brunswick, Canada, for his post-doctoral research. With more than 30 years of teaching and research experience, he has been associated with Panjab University, Indian Institute of Technology Kharagpur, and the University of Arizona, USA.

He is Associate Editor of several prestigious journals: Communications in Statistics: Theory and Methods, Communications in Statistics: Simulation and Computation, Communications in Statistics: Case Studies, Data Analysis and Applications, Statistics and Probability Letters and Journal of Indian Statistical Association.

Shyama Prasad Mukherjee is formerly Centenary Professor at the Department of Statistics, University of Calcutta. He delivered short courses and lectures at several universities and research institutions in India and abroad. He guided more than 25 scholars in their doctoral work on topics like parametric estimation including queueing parameters, prediction intervals, stochastic optimization, reliability analysis and inventory management. Editor of several contributed volumes, he has authored four books: A Guide to Research Methodology, Decision-making, Quality: Domains and Dimensions (Springer) and Statistical Methods for Social Science Research (Springer).

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Detalles bibliográficos

Título: Probability Models in Reliability Analysis
Editorial: Springer
Año de publicación: 2025
Encuadernación: Encuadernación de tapa dura
Condición: Brand New

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