Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/9800
Title: | Testing For Outliers |
Authors: | Chawla, Satwant |
Advisor: | Tiku, M. L. |
Department: | Statistics |
Keywords: | Applied Statistics;Applied Statistics |
Publication Date: | May-1975 |
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> |
URI: | http://hdl.handle.net/11375/9800 |
Identifier: | opendissertations/489 1125 876509 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 945.08 kB | Adobe PDF | View/Open |
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