Mathematical and Statistical Models and Methods in Reliability
Applications to Medicine, Finance, and Quality Control
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Beschreibung
An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this 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 recognized experts in the field of reliability, the contributions cover a wide range of models, methods, and 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.
The volume is thematically organized into four major sections:
* Reliability Models, Methods, and Optimization;
* Statistical Methods in Reliability;
* Applications;
* Computer Tools for Reliability.
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.
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.
Real-world applications to survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation Chapters are written by recognized experts in reliability For a broad audience of researchers and practitioners in applied probability and statistics and a variety of related fields Includes supplementary material: sn.pub/extras
Autor*in
V.V. Rykov
Themen in »Mathematical and Statistical Models and Methods in Reliability«
Censoring Excel Observable Resampling Survival analysis aircraft engineering calculus carcinogenesis studies copula data analysis empirical B fatigue, wear, and degradation models medicine oil and gas industry reliability engineering