Reliability Analysis and Plans for Successive Testing

Reliability Analysis and Plans for Successive Testing

Start-up Demonstration Tests and Applications

1st Edition - January 15, 2021

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  • Authors: N. Balakrishnan, Markos Koutras, Fotios Milienos
  • Hardcover ISBN: 9780128042885
  • eBook ISBN: 9780128043622

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Description

Reliability Analysis and Plans for Successive Testing: Start-up Demonstration Tests and Applications discusses all past and recent developments on start-up demonstration tests in the context of current numerical and illustrative examples to clarify available methods for distribution theorists and applied mathematicians dealing with control problems. Throughout the book, the authors focus on the panorama of open problems and issues of further interest. As contemporary manufacturers face tremendous commercial pressures to assemble works of high reliability, defined as ‘the probability of the product performing its role under the stated conditions and over a specified period of time’, this book helps address testing issues.

Key Features

  • Unites the tools and methodologies of applied statistics and stochastic modeling to aid the determination of device reliability for better performing consumer goods
  • Clearly articulates how successive testing methods can be used in practice
  • Comments not only on distribution sequences closed, but also on open problems and issues of further interest for researchers

Readership

Graduate students and specialized researchers in statistical distribution theory; statistical quality control and reliability theory, some in industrial settings

Table of Contents

  • 1. Introduction
    2. Preliminaries
    3. Binary start-up demonstration tests
    4. Multistate start-up demonstration tests
    5. An unified approach
    6. Statistical inference and a mixture model
    7. Some extended testing procedures and optimal design of tests
    8. Illustrative data analyses
    9. Applications to other fields

Product details

  • No. of pages: 266
  • Language: English
  • Copyright: © Academic Press 2021
  • Published: January 15, 2021
  • Imprint: Academic Press
  • Hardcover ISBN: 9780128042885
  • eBook ISBN: 9780128043622

About the Authors

N. Balakrishnan

N. Balakrishnan
Narayanaswamy Balakrishnan, Distinguished University Professor, is in the Department of Mathematics and Statistics McMaster University Hamilton, Ontario, Canada. Professor Balakrishnan is an internationally recognized expert on statistical distribution theory, and a book-powerhouse with 16 authored books, 4 authored handbooks, and 27 edited books under his name. He is currently the Editor-in-Chief of Communications in Statistics published by Taylor & Francis, and was also the Editor-in-Chief for the revised version of Encyclopedia of Statistical Sciences published by John Wiley & Sons. He is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics, and in 2016 was awarded an Honorary Doctorate for The National and Kapodistrian University of Athens, Athens, Greece.

Affiliations and Expertise

Professor of Statistics, Department of Mathematics and Statistics McMaster University Hamilton, Ontario, Canada; visiting Professor, King Abdulaziz University, Jeddah, Saudi Arabi

Markos Koutras

Markos Koutras, Professor of Statistics and Applied Probability, is in the Department of Statistics and Insurance Science, University of Piraeus, and is currently the Vice-Rector of Finance, Planning and Development of the University of Piraeus, Greece. Koutras’ research interests include asymptotic theory, combinatorial distributions, multivariate analysis, reliability theory, statistical quality control, and theory of runs/scans/patterns, and he has published a book on the last topic, collaboratively with Professor N. Balakrishnan, with John Wiley & Sons.

Affiliations and Expertise

Department of Statistics and Insurance Science, University of Piraeus and Dean of the School of Finance and Statistics, Piraeus, Greece

Fotios Milienos

Fotios Milienos, Assistant Professor, in the Department of Sociology, Panteion University of Social and Political Sciences, Greece. His research interests include theory of runs and patterns, cure rate modeling, and statistical methods in behavioral research.

Affiliations and Expertise

Postdoctoral fellow, Department of Mathematics and Statistics, McMaster University, Ontario, Canada

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