Results 11 to 20 of about 1,773,114 (300)
Nonparametric multiple comparisons [PDF]
Nonparametric multiple comparisons are a powerful statistical inference tool in psychological studies. In this paper, we review a rank-based nonparametric multiple contrast test procedure (MCTP) and propose an improvement by allowing the procedure to accommodate various effect sizes.
Kimihiro Noguchi +3 more
openaire +2 more sources
Dataset decay and the problem of sequential analyses on open datasets
Open data allows researchers to explore pre-existing datasets in new ways. However, if many researchers reuse the same dataset, multiple statistical testing may increase false positives.
William Hedley Thompson +3 more
doaj +1 more source
Multiple Comparisons in Induction Algorithms [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jensen, DD, Cohen, PR
openaire +1 more source
One-Way and Two-Way ANOVA: Inferences About a Robust, Heteroscedastic Measure of Effect Size
Consider a one-way or two-way ANOVA design. Typically, groups are compared based on some measure of location. The paper suggests alternative methods where measures of location are replaced by a robust measure of effect size that is based in part on a ...
Rand Wilcox
doaj +1 more source
Multiple Comparison Methods for Means [PDF]
Summary: Multiple comparison methods (MCMs) are used to investigate differences between pairs of population means or, more generally, between subsets of population means using sample data. Although several such methods are commonly available in statistical software packages, users may be poorly informed about the appropriate method(s) to use and/or the
Braselton, James P. +2 more
openaire +2 more sources
Multiple comparisons contrast.
Multiple comparisons contrast.
José Francisco Jiménez-Parra (11331054) +4 more
core +1 more source
Pair-wise multiple comparisons.
Pair-wise multiple comparisons.
Agegnehu Berie Bayeh (11777972) +1 more
core +1 more source
Application of variance analysis in experimental pharmacology
The article discusses various types of variance analysis: one-factor, two-factor, repeated measurements, including detailed analysis of variance categorical data.
I. B. Tsorin
doaj +1 more source

