Welcome to the upgraded MacSphere! We're putting the finishing touches on it; if you notice anything amiss, email macsphere@mcmaster.ca

Testing For Outliers

dc.contributor.advisorTiku, M. L.en_US
dc.contributor.authorChawla, Satwanten_US
dc.contributor.departmentStatisticsen_US
dc.date.accessioned2014-06-18T16:48:21Z
dc.date.available2014-06-18T16:48:21Z
dc.date.created2009-06-19en_US
dc.date.issued1975-05en_US
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.description.degreeMaster of Science (MS)en_US
dc.identifier.otheropendissertations/489en_US
dc.identifier.other1125en_US
dc.identifier.other876509en_US
dc.identifier.urihttp://hdl.handle.net/11375/9800
dc.subjectApplied Statisticsen_US
dc.subjectApplied Statisticsen_US
dc.titleTesting For Outliersen_US
dc.typethesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
fulltext.pdf
Size:
945.08 KB
Format:
Adobe Portable Document Format