When the null hypothesis of Friedman's test is rejected, there is a wide variety of multiple comparisons that can be used to determine which treatments di er from each other. We will discuss the contexts where di erent multiple comparisons should be applied, when the population follows some discrete distributions commonly used to model count data in biological and ecological elds. Our simulation study shows that sign test is very conservative. Fisher's LSD and Tukey's HSD tests computed with ranks are the most liberal. Theoretical considerations are illustrated with data of Azores Buzzard (Buteo buteo rothschildi) population from Azores, Portugal
<p>*Catch time was recorded four times and for these comparisons we used Friedman nonparametric test...
A common design in quantitative research involves the repeated testing of participants in a number o...
In this paper a very natural generalization of the two·way analysis of variance rank statistic of FR...
This study investigates an application of Friedman statistic as a model selection methodology on pos...
The Friedman test is used to nonparametrically test the null hypothesis of equality of the treatment...
The Friedman test is often used for a randomized complete block design when the normality assumption...
The problem of whether the rankings of some objects given by a set of judges show any agreement or a...
Investigating differences between means of more than two groups or experimental conditions is a rout...
In the bid to improve fish stocks in natural environments, man has directly impacted upon natural wa...
Investigating differences between means of more than two groups or experimental conditions is a rout...
Comparison of FDR-corrected P-values for site effects derived using repeated measures ANOVA (orange)...
A fundamental task in machine learning is to compare the performance of multiple algorithms. This is...
The score test statistic computed using the observed information is easy to compute numerically. Its...
<p>The three encodings compared by their rank distance over all data sets and classifiers (a) and gr...
<p>Results of a Friedman test to compare prediction methods across different datasets and feature se...
<p>*Catch time was recorded four times and for these comparisons we used Friedman nonparametric test...
A common design in quantitative research involves the repeated testing of participants in a number o...
In this paper a very natural generalization of the two·way analysis of variance rank statistic of FR...
This study investigates an application of Friedman statistic as a model selection methodology on pos...
The Friedman test is used to nonparametrically test the null hypothesis of equality of the treatment...
The Friedman test is often used for a randomized complete block design when the normality assumption...
The problem of whether the rankings of some objects given by a set of judges show any agreement or a...
Investigating differences between means of more than two groups or experimental conditions is a rout...
In the bid to improve fish stocks in natural environments, man has directly impacted upon natural wa...
Investigating differences between means of more than two groups or experimental conditions is a rout...
Comparison of FDR-corrected P-values for site effects derived using repeated measures ANOVA (orange)...
A fundamental task in machine learning is to compare the performance of multiple algorithms. This is...
The score test statistic computed using the observed information is easy to compute numerically. Its...
<p>The three encodings compared by their rank distance over all data sets and classifiers (a) and gr...
<p>Results of a Friedman test to compare prediction methods across different datasets and feature se...
<p>*Catch time was recorded four times and for these comparisons we used Friedman nonparametric test...
A common design in quantitative research involves the repeated testing of participants in a number o...
In this paper a very natural generalization of the two·way analysis of variance rank statistic of FR...