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5 edition of Bayesian methods for statistical estimation with application to reliability found in the catalog.

Bayesian methods for statistical estimation with application to reliability

V. P. Savchuk

Bayesian methods for statistical estimation with application to reliability

  • 367 Want to read
  • 30 Currently reading

Published by World Federation Publishers in Atlanta, GA .
Written in English

    Subjects:
  • Reliability (Engineering) -- Statistical methods,
  • Bayesian statistical decision theory

  • Edition Notes

    Includes bibliographical references and index.

    Statementby Vladimir P. Savchuk, Chris P. Tsokos.
    ContributionsTsokos, Chris P.
    Classifications
    LC ClassificationsTA169 .S29 1996
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL981323M
    ISBN 101885978081
    LC Control Number96018907
    OCLC/WorldCa34669319


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Bayesian methods for statistical estimation with application to reliability by V. P. Savchuk Download PDF EPUB FB2

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Approximate Analysis under Great Prior Uncertainty -- Problems Involving many Parameters: Empirical Bayes -- Numerical Methods for Practical Bayesian Statistics -- References -- 3. Reliability Modelling and Estimation -- 1. Non-Repairable Systems -- 2. Estimation -- 3.

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Bayesian Methods of Inference The Likelihood An Illustration An Application to a Real Failure Count Data Set Summary References 6 GENERAL CONCLUSIONS APPENDIX A POSTERIOR SIMULATION METHODS Author: Kenneth Joseph Ryan. -- Probabilistic models for the reliability of repairable systems -- Statistical methods, including graphical methods, for analyzing data from repairable systems.

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Bee, L. Trapin, A characteristic function-based approach to approximate maximum likelihood estimation, Communications in Statistics - Theory and Methods,   Evaluation method of reliability of industrial products needs to be improved effectively with the advance of science and technology.

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Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades/5(2).