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by
Burnham, Sarah Elizabeth, author.
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yielded 181 responses. Descriptive statistics of the respondents precedes non-parametric analyses of
by
Dmitrieva, Tatiana, author.
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Empirical likelihood is a nonparametric estimation approach in statistics that does not require the
by
Jia, Weijia, author.
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statistic is based upon a weighted integrated squared distance between a nonparametric estimator and a semi
by
Stermer, Laura Louise Duncan, author.
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open-ended comments. Analysis of data was conducted using a comparison of descriptive statistics, non-parametric
by
Roberts, Frank Richard, author.
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phase used descriptive and correlational statistics as well as non-parametric tests of differences to
by
Bowman, Adrian William, author.
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asymptotic distributions of the test statistics is also discussed. Chapter 4 deals principally with location
by
Williams, Devin N., author.
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measurements for each case for statistical analysis. This study uses descriptive statistics, crosstabulation
by
Aljabri, Duaa I., author.
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-square analysis for categorical variables and Wilcoxon for continuous non-parametric variables. SAS Version 9.4
by
Smith, Susan Bennett, author. (orcid)0000-0001-8942-3795
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variables and nonparametric tests were conducted to assess changes and differences in the health outcomes
by
Syring, Nicholas Aaron, author.
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model or inefficiency from a nonparametric model motivate using the alternative Gibbs approach, which

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