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Friday, November 27, 2020 | History

1 edition of Bayesian inference for stress-strength models with explanatory variables found in the catalog.

Bayesian inference for stress-strength models with explanatory variables

Bayesian inference for stress-strength models with explanatory variables

  • 71 Want to read
  • 2 Currently reading

Published by University of Toronto, Dept. of Statistics in Toronto .
Written in English

    Subjects:
  • Analysis of variance.,
  • Bayesian statistical decision theory.,
  • Multivariate analysis.

  • Edition Notes

    Includes bibliographical references.

    Statementby G.K. Bhattacharyya ... [et al.].
    SeriesTechnical report series / University of Toronto Department of Statistics -- no. 13, Technical report (University of Toronto. Dept. of Statistics) -- no. 13 (1989)
    ContributionsBhattacharyya, G.
    Classifications
    LC ClassificationsQA279.5 .B37 1989
    The Physical Object
    Pagination18 p. :
    Number of Pages18
    ID Numbers
    Open LibraryOL20747489M

    status variables. That is, we let 27 copy Page 28 Thursday, March 3, AM. Nachlas. ri = Pr[ xi = 1] () where, because of the fact that the xi are binary, it is again the case that the reliability and expected value correspond. Free essays, homework help, flashcards, research papers, book reports, term papers, history, science, politics. Selected Topics in Reliability Modeling Stress-Strength Analysis Software Reliability Analysis Introduction Software Reliability Models Software Life Cycle Models Human Reliability Human Reliability Analysis Process HRA Models Human Reliability Data Measures of Importance Birnbaum. Bu bölümde İstatistik Tez Konuları işlenmiştir. Eğer siz de İstatistik alanında öğrenim görüyorsanız ve bu alanda bir Tez/Proje araştırması yapacaksanız bu sayfadaki bilgiler sizin için faydalı olacaktır.

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Bayesian inference for stress-strength models with explanatory variables Download PDF EPUB FB2

Dhanya and Jeevanan d, Quasi bayesian estimation of stress strength model for the power function distribution Weerahandi, S, and Johnso n, R.A. Inference on stress–strength reliability for exponential distributions with a common scale parameter Article in Journal of Applied Statistics 46(16) June with 85 Reads.

Abstract. In this paper, we consider the Bayesian inference on the stress-strength parameter \(R = P(Y variables X and Y have different scale parameters and (a) a common shape parameter or (b) different shape parameters. Moreover, both stress and strength may depend Author: Debasis Kundu.

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