In the present paper, a distribution-free statistical test for the so-called “many-one problem” with vague data is suggested. This test is a generalization of ...
Classical statistical tests may be sensitive to violations of the fundamental model assumptions inherent in the derivation and construction of these tests.
k-sample median test for vague data. · Grzegorzewski, Przemysław · Classical statistical tests may be sensitive to violations of the fundamental model assumptions ...
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Classical statistical tests may be sensitive to violations of the fundamental model assumptions inherent in the derivation and construction of these tests.
and its variance is shown to take a simple form. The median test is compared to several other tests for censored data by computing asymptotic relative efficien-.
Missing: vague | Show results with:vague
Dec 7, 2021 · The Kruskal-Wallis test can be thought of as the non-parametric equivalent to ANOVA. This test determines if independent groups have the same mean on ranks.
Next we discuss the problem of hypothesis testing concerning the median in the presence of imprecise data. All methods presented are distribution-free. Keywords ...
A distribution‐free statistical test for the so‐called “many‐one problem” with vague data is suggested, using the necessity index of strict dominance, ...
Request PDF | Two-Sample Median Test for Vague Data | Classical statistical tests ... K-Sample Median Test for Vague Data. May 2009 · International Journal of ...
Median test is a statistical method used to determine the significance of the difference between two or more samples without making any assumptions about the ...