Using the Tukey-Kramer omnibus test in the Hayter-Fisher procedure (original) (raw)
Modifications for the tukey test procedure and evaluation of the power and efficiency of multiple comparison procedures
Clarice Garcia Borges Demétrio
Scientia Agricola, 2008
View PDFchevron_right
An Empirical Comparison of the Anova F-Test, Normal Scores Test and Kruskal-Wallis Test Under Violation of Assumptions
Larry Toothaker
Educational and Psychological Measurement, 1974
View PDFchevron_right
The ANOVA F-Test Versus The Kruskal-Wallis Test: A Robustness Study
Larry Toothaker
1974
View PDFchevron_right
Effect of Heterogeneity of Variance on the performance of ANOVA F-test and its Alternatives: Simulation Based Study
Jay Lopez
View PDFchevron_right
ANOVA F ve Welch Testi ile Bunların Permutasyon Versiyonlarının 1. Tip Hata ve Testin Gücü Bakımından Karşılaştırılması
Erkut Akkartal
Kafkas Universitesi Veteriner Fakultesi Dergisi, 2009
View PDFchevron_right
The Tukey Honestly Significant Difference Procedure and Its Control of the Type I Error-Rate
James McLean
1998
View PDFchevron_right
Modification of Fisher-Hayter Test
Nor Ahad
Journal of Advanced Research in Applied Mechanics, 2020
View PDFchevron_right
Conventional And Robust Paired And Independent-Samples t Tests: Type I Error And Power Rates
Rand Wilcox
Journal of Modern Applied Statistical Methods
View PDFchevron_right
DOCUMENT RESUME ED 427 043 TM 029 421; The Tukey Honestly Significant Difference Procedure and It's Control of Type I Error Rate
Jackson Barnette
View PDFchevron_right
Influence Of Using Alternative Means On Type-I Error Rate In The Comparison Of Independent Groups
Mehmet mendeş
Journal of Animal and Plant Sciences
View PDFchevron_right
An Empirical Comparison of Power of Two Independent Population Tests under Different Underlined Distributions
Chajire Buba
An Empirical Comparison of Power of Two Independent Population Tests under Different Underlined Distributions, 2023
View PDFchevron_right
A Two and More Independent Factor Form of the Wilcoxon-Mann-Witney Test, Extendable to Other Permutation-Based Tests
Christopher Holland
Journal of Modern Applied Statistical Methods, 2016
View PDFchevron_right
Multiple comparison test by Tukey’s honestly significant difference (HSD): Do the confident level control type I error
Abikesh P K Mahapatra
International Journal of Statistics and Applied Mathematics , 2021
View PDFchevron_right
Statistical Analyses
Lineth Velásquez
View PDFchevron_right
Taking Parametric Assumptions Seriously: Arguments for the Use of Welch’s F-test instead of the Classical F-test in One-Way ANOVA
Youri Mora, Christophe Leys
RIPS, 2019
View PDFchevron_right
PERITZ: A FORTRAN program for performing multiple comparisons of means using the Peritz Q method
Larry Toothaker
Behavior Research Methods, 1989
View PDFchevron_right
Newman–Keuls Test and Tukey Test
Lynne J. Williams
Encyclopedia of Research Design, 2010
View PDFchevron_right
Comparative Performance of Pseudo-Median Procedure, Welch’s Test and Mann-Whitney-Wilcoxon at Specific Pairing
Abdul Rahman Othman
Modern Applied Science, 2011
View PDFchevron_right
Statistics review 5: Comparison of means
Jonathan Ball
Critical care (London, England), 2002
View PDFchevron_right
Statistical Comparison of Eight Alternative Methods for the Analysis of Paired Sample Data with Applications
Godday Ebuh
Open Journal of Statistics, 2012
View PDFchevron_right
A SAS® macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis
Linda S Hynan
Computer Methods and Programs in Biomedicine, 2011
View PDFchevron_right
The Chi-Square Test
Christina Christie
American Journal of Evaluation, 2012
View PDFchevron_right
Reconsidering the status of tests of significance: An alternative criterion of adequacy
R. Murray lindsay
Accounting, Organizations and Society, 1995
View PDFchevron_right
An Empirical Investigation of the Permutation T-Test as Compared to Student's T-Test and the Mann-Whitney U-Test. Report from the Quality Verification Program
Larry Toothaker
1972
View PDFchevron_right
Optimal Significance Level and Sample Size in Hypothesis Testing. 1. Tests of Means
Hugo Hernandez
ForsChem Research Reports, 2021
View PDFchevron_right
Which is the correct statistical test to use
Ana Muñoz
View PDFchevron_right
A Note on Cochran Test for Homogeneity in Two Ways ANOVA and Meta-Analysis
Pamphile MEZUI-MBENG
Open Journal of Statistics, 2015
View PDFchevron_right
Type I Error of Four Pairwise Mean Comparison Procedures Conducted as Protected and Unprotected Tests
Jackson Barnette
Journal of modern applied statistical methods: JMASM
View PDFchevron_right
New Procedure in Testing Differences between Two Groups
Nor Ahad
2014
View PDFchevron_right
On some test statistics for testing homogeneity of variances: a comparative study
Golam Kibria
Journal of Statistical Computation and Simulation, 2013
View PDFchevron_right
A revised generalized F-test for testing the equality of group means under non-normality caused by skewness
Ahmet Eymen Sezer
Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, 2021
View PDFchevron_right
Comparison of ANOVA F and WELCH Tests with Their Respective Permutation Versions in Terms of Type I Error Rates and Test Power
Mehmet mendeş
Kafkas Universitesi Veteriner Fakultesi Dergisi, 2009
View PDFchevron_right
The Chi-Square Test: Often Used and More Often Misinterpreted
Todd Franke
American Journal of Evaluation, 2012
View PDFchevron_right
Comparing the performance of modified Ft statistic with ANOVA and Kruskal Wallis test
Suhaida Abdullah
Applied Mathematics & Information Sciences, 2013
View PDFchevron_right