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Statistical Tests Based on Empty Cells

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Domański C., Uniwersytet Łódzki; Wydział Ekonomiczno-Socjologiczny; Instytut Statystyki i Demografii
Acta Universitatis Lodziensis. Folia Oeconomica
|
2012
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vol. 269
EN
In professional literature on statistics, a constantly growing interest is observed in non-parametric methods. Commonly these methods are based on counting, rank or position statistics and on a number or length of series. In this paper, the least popular tests, namely tests based on a number of empty cells, are presented. David-Hellwig test and a two-sample consistency test are considered. Empirical power of the tests is presented in comparison to classic tests: Kolmogorov and Shapio-Wilk test for testing normality of a distribution and t-Student’s and Wilcoxon tests for testing consistency of two distributions.
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