BAYESIAN APPROACH TO SAMPLE SIZE DETERMINATION PROBLEM

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PEZESHK H.

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Paper Information

Journal: JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT) Year:2004 | Volume:30 | Issue:1 Page(s): 51-66

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Information Journal Paper

Title

BAYESIAN APPROACH TO SAMPLE SIZE DETERMINATION PROBLEM

Author(s)

PEZESHK H. | Issue Writer Certificate

Keywords

SAMPLE SIZE. RANDOMIZED TRIALQ4

INFERENTIAL BAYESIAN METHODQ4

FULLY BAYESIAN METHODQ4

LIKELIHOOD/BAYESIAN METHODQ4

BAYES FACTORQ4

METHODS BASED ON MOMENTSQ4

Abstract

In this paper we briefly review some of the Bayesian techniques for sample size determination in different trials. The two main areas are inferential and decision theoretic frameworks. In the inferential approach we are usually concerned with inference about unknown parameter(s) of interest and sample sizes are determined by taking the parameters of posterior distribution into account. In the decision theoretic approach the problem is treated as a decision problem and using a proper utility function the optimal sample size is determined by optimizing an objective function

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APA: Copy

PEZESHK, H.. (2004). BAYESIAN APPROACH TO SAMPLE SIZE DETERMINATION PROBLEM. JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT), 30(1), 51-66. SID. https://sid.ir/paper/2152/en

Vancouver: Copy

PEZESHK H.. BAYESIAN APPROACH TO SAMPLE SIZE DETERMINATION PROBLEM. JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT)[Internet]. 2004;30(1):51-66. Available from: https://sid.ir/paper/2152/en

IEEE: Copy

H. PEZESHK, “BAYESIAN APPROACH TO SAMPLE SIZE DETERMINATION PROBLEM,” JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT), vol. 30, no. 1, pp. 51–66, 2004, [Online]. Available: https://sid.ir/paper/2152/en

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