Statistics for Industry and Technology
2010
Mathematical and Statistical Models and Methods in ReliabilityApplications to Medicine, Finance, and Quality ControlEditors:

• V.V. Rykov,
• N. Balakrishnan,
• M.S. Nikulin
• …show all 3hide
  

ISBN: 978-0-8176-4970-8 (Print) 978-0-8176-4971-5  (Online)



Applications to Medicine, Finance, and Quality Control

Series: Statistics for Industry and Technology

Rykov, V.V.; Balakrishnan, N.; Nikulin, M.S. (Eds.)


2010, XXVI, 457 p. 74 illus.

A product of Birkhäuser Basel

ISBN 978-0-8176-4971-5

  Immediately available per PDF-download (no DRM, watermarked)

About this book

• 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
  

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.