Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan
Data(s) |
01/01/2003
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Faculty of Science and Technology, School of Information Technology |
Relação |
http://dro.deakin.edu.au/eserv/DU:30026761/khan-manysamplelocation-2003.pdf |
Palavras-Chave | #Mathematical statistics |
Tipo |
Thesis |