Investigation of the method of sequential analysis of Bayesian type

Authors

  • Kartlos Joseph Kachiashvili Georgian Technical University

DOI:

https://doi.org/10.24297/jam.v7i3.7261

Keywords:

constrained Bayesian problem, decision rule, errors type I and type II, hypotheses testing, sequential analysis

Abstract

The results of investigation of the properties of new sequential methods of testing many hypotheses based on special properties of hypotheses acceptance regions in the constrained Bayesian tasks of testing many hypotheses are offered. In particular, some relations between the errors of the first and the second kinds in constrained Bayesian task and in sequential method of Bayesian type depending on the divergence between the tested hypotheses are given. Also dependences of the Lagrange multiplier and the risk function on the probability of incorrectly accepted hypotheses are presented. Theses results are necessary for computation of errors of made decisions at testing multiple hypotheses using offered new sequential methods of testing hypotheses. Computation results of some examples confirm the rightness of theoretical researches.

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Author Biography

Kartlos Joseph Kachiashvili, Georgian Technical University

Full professor of Georgian Technical University, Department of Informatics and Control Systems.

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Published

2014-04-11

How to Cite

Kachiashvili, K. J. (2014). Investigation of the method of sequential analysis of Bayesian type. JOURNAL OF ADVANCES IN MATHEMATICS, 7(3), 1367–1380. https://doi.org/10.24297/jam.v7i3.7261

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Articles