Lower bounds for the expected sample size in the classical and d-posterior statistical problems

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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Bibliographic Details
Main Authors: I.A. Kareev, I.N. Volodin
Format: Article
Language:English
Published: Kazan Federal University 2018-06-01
Series:Учёные записки Казанского университета: Серия Физико-математические науки
Subjects:
expected sample size
lower bounds
efficiency
d -posterior approach
bayesian paradigm
hypothesis testing
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