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Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan
thesisposted on 2003-01-01, 00:00 authored by Azmeri. Khan
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.