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Mode testing in difficult cases

dc.contributor.authorCheng, Ming-Yen
dc.contributor.authorHall, Peter
dc.date.accessioned2015-12-13T23:22:59Z
dc.date.available2015-12-13T23:22:59Z
dc.date.issued1999
dc.date.updated2015-12-12T09:13:35Z
dc.description.abstractUsually, when testing the null hypothesis that a distribution has one mode against the alternative that it has two, the null hypothesis is interpreted as entailing that the density of the sampling distribution has a unique point of zero slope, which is a
dc.identifier.issn0090-5364
dc.identifier.urihttp://hdl.handle.net/1885/91703
dc.publisherInstitute of Mathematical Statistics
dc.sourceAnnals of Statistics
dc.subjectKeywords: Bandwidth; Bootstrap; Calibration; Curve estimation; Level accuracy; Local maximum; Shoulder; Smoothing; Turning point
dc.titleMode testing in difficult cases
dc.typeJournal article
local.bibliographicCitation.issue4
local.bibliographicCitation.lastpage1315
local.bibliographicCitation.startpage1294
local.contributor.affiliationCheng, Ming-Yen, National Taiwan University
local.contributor.affiliationHall, Peter, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidHall, Peter, u7801145
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor020204 - Plasma Physics; Fusion Plasmas; Electrical Discharges
local.identifier.ariespublicationMigratedxPub22545
local.identifier.citationvolume27
local.identifier.scopusID2-s2.0-0033236908
local.type.statusPublished Version

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