Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/13620
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dc.contributor.authorLaha, Arnab Kumar
dc.contributor.authorMahesh, K. C.
dc.date.accessioned2015-05-20T13:17:14Z
dc.date.available2015-05-20T13:17:14Z
dc.date.issued2012
dc.identifier.citationLaha, A.K. & Mahesh, K.C. Stat Papers (2012) 53: 457. https://doi.org/10.1007/s00362-010-0352-3en_US
dc.identifier.issn09325026
dc.identifier.urihttp://hdl.handle.net/11718/13620
dc.description.abstractIn this paper we discuss robust estimation of the concentration parameter ( κ) of the circular normal (CN) distribution. It is known that the MLE of the concentration parameter is not B-robust at the family of all circular normal distributions with fixed mean direction ( μ) and varying κ > 0. In this paper we propose a new estimator for κ and show that it is B-robust and SB-robust at the family {CN( μ, κ) : m ≤ κ ≤ M} where m and M are two arbitrary constants.en_US
dc.language.isoenen_US
dc.publisherStatistical Papersen_US
dc.subjectCircular normal distributionen_US
dc.subjectConcentration parameteren_US
dc.subjectRobust estimationen_US
dc.subjectSB-robust estimatoren_US
dc.titleSB-robust estimator for the concentration parameter of the circular normal distributionen_US
dc.typeArticleen_US
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