KFU. Card publication. Lower bounds for expected sample size of sequential procedures for the multinomial selection problems

KAZAN
FEDERAL UNIVERSITY

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LOWER BOUNDS FOR EXPECTED SAMPLE SIZE OF SEQUENTIAL PROCEDURES FOR THE MULTINOMIAL SELECTION PROBLEMS

Form of presentation

Articles in international journals and collections

Year of publication

2017

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Authors, employees of KFU

Kareev Iskander Amirovich, author

Bibliographic description in the original language

Kareev I., Lower bounds for expected sample size of sequential procedures for the multinomial selection problems//Communications in Statistics - Theory and Methods. - 2017. - Vol.46, Is.19. - P.9787-9794.

Keywords

Efficiency, Expected sample size, Indifference zone, Lower bound, Multinomial selection, Sequential procedure

The name of the journal

Communications in Statistics - Theory and Methods

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021208579&doi=10.1080%2f03610926.2016.1222429&partnerID=40&md5=a09b0317380be46d945e59ae17c966aa

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=164311&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kareev Iskander Amirovich	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Kareev I., Lower bounds for expected sample size of sequential procedures for the multinomial selection problems//Communications in Statistics - Theory and Methods. - 2017. - Vol.46, Is.19. - P.9787-9794.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=164311&p_lang=2	ru_RU
dc.description.abstract	Communications in Statistics - Theory and Methods	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Efficiency	ru_RU
dc.subject	Expected sample size	ru_RU
dc.subject	Indifference zone	ru_RU
dc.subject	Lower bound	ru_RU
dc.subject	Multinomial selection	ru_RU
dc.subject	Sequential procedure	ru_RU
dc.title	Lower bounds for expected sample size of sequential procedures for the multinomial selection problems	ru_RU
dc.type	Articles in international journals and collections	ru_RU