Testing For Outliers

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/9800

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DC Field	Value	Language
dc.contributor.advisor	Tiku, M. L.	en_US
dc.contributor.author	Chawla, Satwant	en_US
dc.date.accessioned	2014-06-18T16:48:21Z	-
dc.date.available	2014-06-18T16:48:21Z	-
dc.date.created	2009-06-19	en_US
dc.date.issued	1975-05	en_US
dc.identifier.other	opendissertations/489	en_US
dc.identifier.other	1125	en_US
dc.identifier.other	876509	en_US
dc.identifier.uri	http://hdl.handle.net/11375/9800	-
dc.description.abstract	<p>Several test statistics, which are known, can be used for testing for outliers. Two new statistics T and tc are proposed. T and tc are based on censored and complete samples and are similar to Tiku's T and tc statistics for testing for normality. The distribution of T is closely approximated by the Beta distribution, and the distribution of tc is closely approximated by Student's t distribution. T and tc are also both origin and scale invariant. Besides T and tc are easy to calculate. The statistic T is more powerful than Tietjen and Moore's statistics Lr and Er. The statistic tc is, on the whole, as powerful as Er.</p>	en_US
dc.subject	Applied Statistics	en_US
dc.subject	Applied Statistics	en_US
dc.title	Testing For Outliers	en_US
dc.type	thesis	en_US
dc.contributor.department	Statistics	en_US
dc.description.degree	Master of Science (MS)	en_US
Appears in Collections:	Open Access Dissertations and Theses

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