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To conduct a test of distributions equivalency, we can use either R l or R s as the test statistic.
Clusters are found by pairwise comparisons (two-sample test) of distributions corresponding to sequences: two sequences belong to the same cluster if and only if the MMD is close enough to 0 (the threshold is computed as in Theorem 4 and Corollary 5).
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Demographic data on age, education, Mini-Mental State Examination score, and symptom duration were analysed using linear regression models; a Chi-square test of distribution was used to assess whether gender distribution differed significantly between experimental groups.
The characterizations by truncated moments may also be useful in developing some goodness-of-fit tests of distributions by using data whether they satisfy certain properties given in the characterizations of distributions.
† P-value for t-test of distributions of estimates between public and non-public facilities.
Significance testing of distributions of FPKM values was performed using a two-sample Wilcoxon rank sum test, and for normally distributed log2 transformed data, t-tests were employed.
The goal of this paper is to provide large deviations limit theorems for statistics, based on the delta-sequence density estimation and designed to symmetry testing of distribution.
For testing of distribution, we used the Shapiro Wilk's test.
Significance testing of distribution of baseline characteristics used Wilcoxon rank-sum test for continuous variables and chi-squared test for categorical variables.
In the X2- tests of distribution of euthanised sows/gilts the months January and February were grouped together as were August and September.
Field trapping for tests of distribution by altitude were carried out between 15 April (week 14) and 31 October (week 43) 2011.
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