Mathematical and Statistical Models and Methods in Reliability

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Release : 2010-11-02
Genre : Technology & Engineering
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Book Rating : 719/5 ( reviews)

Mathematical and Statistical Models and Methods in Reliability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical and Statistical Models and Methods in Reliability write by V.V. Rykov. This book was released on 2010-11-02. Mathematical and Statistical Models and Methods in Reliability available in PDF, EPUB and Kindle. The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Mathematical and Statistical Models and Methods in Reliability

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Release : 2011-03-04
Genre : Technology & Engineering
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Book Rating : 722/5 ( reviews)

Mathematical and Statistical Models and Methods in Reliability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical and Statistical Models and Methods in Reliability write by V.V. Rykov. This book was released on 2011-03-04. Mathematical and Statistical Models and Methods in Reliability available in PDF, EPUB and Kindle. The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Statistical Models and Methods for Reliability and Survival Analysis

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Release : 2013-12-31
Genre : Mathematics
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Book Rating : 19X/5 ( reviews)

Statistical Models and Methods for Reliability and Survival Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Models and Methods for Reliability and Survival Analysis write by Vincent Couallier. This book was released on 2013-12-31. Statistical Models and Methods for Reliability and Survival Analysis available in PDF, EPUB and Kindle. 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.

Mathematical and Statistical Methods in Reliability

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Release : 2003
Genre : Mathematics
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Book Rating : 212/5 ( reviews)

Mathematical and Statistical Methods in Reliability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical and Statistical Methods in Reliability write by Bo Lindqvist. This book was released on 2003. Mathematical and Statistical Methods in Reliability available in PDF, EPUB and Kindle. This book contains extended versions of carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Norway in 2002. It provides an overview of current research activities in reliability theory. The authors are all leading experts in the field. Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research.

Modern Statistical and Mathematical Methods in Reliability

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Release : 2005
Genre : Mathematics
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Book Rating : 563/5 ( reviews)

Modern Statistical and Mathematical Methods in Reliability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modern Statistical and Mathematical Methods in Reliability write by Alyson G. Wilson. This book was released on 2005. Modern Statistical and Mathematical Methods in Reliability available in PDF, EPUB and Kindle. This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research. A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modeling, and software reliability. The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford, Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.