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Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan

Khan, Azmeri. 2003, Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan, Ph.D. thesis, School of Information Technology, Deakin University.

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Title Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan
Author Khan, Azmeri.
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science and Technology
Degree name Ph.D.
Date submitted 2003
Keyword(s) Mathematical statistics
Summary This thesis, using a computer simulation, studies the effect of the normal distribution assumption on the power of several many-sample location and scale test procedures. It also suggests an almost robust parametric test, namely numerical likelihood ratio test (NLRT) for non-normal situations. The NLRT is found better than all of the tests considered. Some real life data sets were used as examples.
Language eng
Description of original xxiv, 208 leaves ; 30 cm.
Dewey Decimal Classification 519.5
Persistent URL http://hdl.handle.net/10536/DRO/DU:30026761

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Created: Thu, 01 Apr 2010, 15:47:33 EST

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