Lower bounds for the expected sample size in the classical and d-posterior statistical problems
In this report, the problem of construction of lower boundaries for the expected sample size of statistical inference procedures has been considered. The general methodology for construction of the lower bounds and the review of the main results for the classical statistical problems have been prese...
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Format: | Article |
Language: | English |
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Kazan Federal University
2018-06-01
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Series: | Учёные записки Казанского университета. Серия Физико-математические науки |
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Online Access: | https://kpfu.ru/lower-bounds-for-the-expected-sample-size-in-the.html |
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author | I.A. Kareev I.N. Volodin |
author_facet | I.A. Kareev I.N. Volodin |
author_sort | I.A. Kareev |
collection | DOAJ |
description | In this report, the problem of construction of lower boundaries for the expected sample size of statistical inference procedures has been considered. The general methodology for construction of the lower bounds and the review of the main results for the classical statistical problems have been presented along with the analysis of the new and earlier results on adoption of the technique to the d-posterior approach. Namely, the hypothesis testing problem has been considered. |
first_indexed | 2024-04-11T06:47:43Z |
format | Article |
id | doaj.art-488443b3d57f4819a4d5289ff4fe2f40 |
institution | Directory Open Access Journal |
issn | 2541-7746 2500-2198 |
language | English |
last_indexed | 2024-04-11T06:47:43Z |
publishDate | 2018-06-01 |
publisher | Kazan Federal University |
record_format | Article |
series | Учёные записки Казанского университета. Серия Физико-математические науки |
spelling | doaj.art-488443b3d57f4819a4d5289ff4fe2f402022-12-22T04:39:17ZengKazan Federal UniversityУчёные записки Казанского университета. Серия Физико-математические науки2541-77462500-21982018-06-011602309316Lower bounds for the expected sample size in the classical and d-posterior statistical problemsI.A. Kareev0I.N. Volodin1Kazan Federal University, Kazan, 420008 RussiaKazan Federal University, Kazan, 420008 RussiaIn this report, the problem of construction of lower boundaries for the expected sample size of statistical inference procedures has been considered. The general methodology for construction of the lower bounds and the review of the main results for the classical statistical problems have been presented along with the analysis of the new and earlier results on adoption of the technique to the d-posterior approach. Namely, the hypothesis testing problem has been considered.https://kpfu.ru/lower-bounds-for-the-expected-sample-size-in-the.htmlexpected sample sizelower boundsefficiencyd -posterior approachbayesian paradigmhypothesis testing |
spellingShingle | I.A. Kareev I.N. Volodin Lower bounds for the expected sample size in the classical and d-posterior statistical problems Учёные записки Казанского университета. Серия Физико-математические науки expected sample size lower bounds efficiency d -posterior approach bayesian paradigm hypothesis testing |
title | Lower bounds for the expected sample size in the classical and d-posterior statistical problems |
title_full | Lower bounds for the expected sample size in the classical and d-posterior statistical problems |
title_fullStr | Lower bounds for the expected sample size in the classical and d-posterior statistical problems |
title_full_unstemmed | Lower bounds for the expected sample size in the classical and d-posterior statistical problems |
title_short | Lower bounds for the expected sample size in the classical and d-posterior statistical problems |
title_sort | lower bounds for the expected sample size in the classical and d posterior statistical problems |
topic | expected sample size lower bounds efficiency d -posterior approach bayesian paradigm hypothesis testing |
url | https://kpfu.ru/lower-bounds-for-the-expected-sample-size-in-the.html |
work_keys_str_mv | AT iakareev lowerboundsfortheexpectedsamplesizeintheclassicalanddposteriorstatisticalproblems AT involodin lowerboundsfortheexpectedsamplesizeintheclassicalanddposteriorstatisticalproblems |