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Full-Text Articles in Social and Behavioral Sciences
Combining Two Nonparametric Tests Of Location, R. Clifford Blair
Combining Two Nonparametric Tests Of Location, R. Clifford Blair
Journal of Modern Applied Statistical Methods
A distribution-free test is proposed whose power is similar to that of the Wilcoxon Rank-Sum or Terry-Hoeffding Normal Scores tests depending on which of these two tests is more powerful in a given data analysis situation, regardless of the population. This new statistic is distribution-free, and adds no new assumptions to those associated with the constituent tests. A table of critical values for the new statistic is given and some of its Type I error and power properties are examined.
Some Locally Most Powerful Rank Tests For Correlation, W. J. Conover
Some Locally Most Powerful Rank Tests For Correlation, W. J. Conover
Journal of Modern Applied Statistical Methods
Four examples are given to illustrate the ease and practicality of the procedure for finding locally most powerful rank tests for correlation. The first two examples deal with bivariate exponential models. The third example uses the bivariate normal distribution, and the fourth example analyzes the Morgenstem’s general correlation model.