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Information Journal Paper

Title

EMPIRICAL BAYES ANALYSIS OF TWO-FACTOR EXPERIMENTS UNDER INVERSE GAUSSIAN MODEL

Pages

  61-70

Abstract

 A two-factor experiment with interaction between factors wherein observations follow an Inverse Gaussian model is considered. Analysis of the experiment is approached via an empirical Bayes procedure. The conjugate family of prior distributions is considered. Bayes and empirical Bayes estimators are derived. Application of the procedure is illustrated on a data set, which has previously been analyzed by other authors.

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  • Cite

    APA: Copy

    MESHKANI, M.R.. (2003). EMPIRICAL BAYES ANALYSIS OF TWO-FACTOR EXPERIMENTS UNDER INVERSE GAUSSIAN MODEL. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, 14(1), 61-70. SID. https://sid.ir/paper/529071/en

    Vancouver: Copy

    MESHKANI M.R.. EMPIRICAL BAYES ANALYSIS OF TWO-FACTOR EXPERIMENTS UNDER INVERSE GAUSSIAN MODEL. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN[Internet]. 2003;14(1):61-70. Available from: https://sid.ir/paper/529071/en

    IEEE: Copy

    M.R. MESHKANI, “EMPIRICAL BAYES ANALYSIS OF TWO-FACTOR EXPERIMENTS UNDER INVERSE GAUSSIAN MODEL,” JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, vol. 14, no. 1, pp. 61–70, 2003, [Online]. Available: https://sid.ir/paper/529071/en

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