rank tests

rank tests

[′raŋk ‚tests]
(statistics)
Tests which use the ranks of observations with respect to one another rather than the observations themselves.
References in periodicals archive ?
Statistical analyses included group by condition repeated-measures ANOVA for metric data, Mann-Whitney U rank and Friedman's rank tests for nonparametric rank data, Spearman's rho correlations to compare aesthetic rankings and metrics, and linear regression to examine which metric best quantified observers' aesthetic rankings, p < 0.05.
In this paper, we propose a Wilcoxon-type weighted rank test to compare with the existing two Wilcoxon-type rank tests proposed by Mantel [2] and R.
Peto's [6] generalized Wilcoxon-type rank tests and propose our weighted rank test.
Wilcoxon-Type Rank Tests for Interval Censored Data
Two-sample Wilcoxon rank test is a well-known method to test whether two samples of exact data come from the same population.
Our Proposed Wilcoxon-Type Weighted Rank Test. To transform an IC data to exact, we first assign each inspection time [x.sub.i] a primary rank [R.sub.i]; for instance, [R.sub.i] = i.
Their topics are chi-squared tests, goodness-of-fit tests based on empirical processes, rank tests, and other non-parametric tests.
The authors start with the basics of statistics and Bayesian statistics, then cover order statistics, "goodness of fit," rank tests, relevant designed experiments, categorical data, estimating distribution functions and density, regressions beyond the linear, curve fitting, wavelets, bootstrapping, the Em algorithm, statistical learning, and nonparametric Bayes.
DM patients had a significantly lower overall survival rate than non-DM patients (log rank test, ?
Furthermore, DM patients had a lower free survival rate of cardiovascular event than that of non-DM group (log rank test, ?
2 = 4.222, P = 0.040), and DM with moderately controlled FPG (log rank test, ?