Mathematical and Statistical Models and Methods in Reliability

Applications to Medicine, Finance, and Quality Control

Nonfiction, Science & Nature, Technology, Quality Control, Mathematics, Statistics
Cover of the book Mathematical and Statistical Models and Methods in Reliability by , Birkhäuser Boston
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Author: ISBN: 9780817649715
Publisher: Birkhäuser Boston Publication: November 2, 2010
Imprint: Birkhäuser Language: English
Author:
ISBN: 9780817649715
Publisher: Birkhäuser Boston
Publication: November 2, 2010
Imprint: Birkhäuser
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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