A new test for unimodality

dc.contributor.author	Andrushkiw, R.I.
dc.contributor.author	Klyushin, D.D.
dc.contributor.author	Petunin, Y.I.
dc.date.accessioned	2009-11-25T10:59:23Z
dc.date.available	2009-11-25T10:59:23Z
dc.date.issued	2008
dc.identifier.citation	A new test for unimodality / R.I. Andrushkiw, D.D. Klyushin, Y.I. Petunin // Theory of Stochastic Processes. — 2008. — Т. 14 (30), № 1. — С. 1–6. — Бібліогр.: 12 назв.— англ.	en_US
dc.identifier.issn	0321-3900
dc.identifier.uri	http://dspace.nbuv.gov.ua/handle/123456789/4530
dc.description.abstract	A distribution function (d.f.) of a random variable is unimodal if there exists a number such that d.f. is convex left from this number and is concave right from this number. This number is called a mode of d.f. Since one may have more than one mode, a mode is not necessarily unique. The purpose of this paper is to construct nonparametric tests for the unimodality of d.f. based on a sample obtained from the general population of values of the random variable by simple sampling. The tests proposed are significance tests such that the unimodality of d.f. can be guaranteed with some probability (confidence level).	en_US
dc.language.iso	en	en_US
dc.publisher	Інститут математики НАН України	en_US
dc.title	A new test for unimodality	en_US
dc.type	Article	en_US
dc.status	published earlier	en_US
dc.identifier.udc	519.21