Specific features of regions of acceptance of hypotheses in conditional Bayesian problems of statistical hypotheses testing
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Specific features of the regions of acceptance of hypotheses in conditional Bayesian problems of statistical hypotheses testing are discussed. It is shown that the classical Bayesian statement of the problem of statistical hypotheses testing in the form of an unconditional optimizing problem is a special case of conditional Bayesian problems of hypotheses testing set in the form of conditional optimizing problems. It is also shown that, at acceptance of hypotheses in conditional problems of hypotheses testing, the situation is similar to the sequential analysis. It is possible an occurrence of the situation when the acceptance of a hypothesis with specified validity on the basis of the available information is impossible. In such a situation, the actions are similar to the sequential analysis, i.e. it is necessary to obtain additional information in the form of new observation results or to change the significance level of a test.
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- Specific features of regions of acceptance of hypotheses in conditional Bayesian problems of statistical hypotheses testing
Volume 74, Issue 1 , pp 112-125
- Cover Date
- Print ISSN
- Online ISSN
- Additional Links
- Primary 62F03; Secondary 62F15
- Bayesian problem
- hypotheses testing
- significance level
- conditional problem
- unconditional problem
- Author Affiliations
- 1. Georgian Technical University, 77 Kostava St., Tbilisi, 380078, Georgia
- 2. I. Vekua Institute of Applied Mathematics of Tbilisi State University, 2 University St, Tbilisi, 380043, Georgia
- 3. Abdus Salam School of Mathematical Sciences of GC University, 68-B, New Muslim Town, Lahore, Pakistan
- 4. Air University Multan Campus, Khan Centre Abdali Road, Multan, Pakistan