The aim of this paper is to extend one-way random effects ANOVA to situations in which we can not previously know the sample sizes. In this case it is more appropriate to consider the sample sizes as realizations of random variables. We will obtain the distribution of the F-tests, which has random degrees of freedom for the errors. Moreover we will show the equivalence between two expressions for the F-tests
The classical F-test for unequal means in a one-way ANOVA is known to be misleading when the populat...
The bachelor thesis focuses on the One-way ANOVA and its nonparametric counterpart the Kruskal-Walli...
A framework for comparing normal population means in the presence of heteroscedasticity and outliers...
Analysis of variance (ANOVA) is one of the most frequently used statistical analysis in several rese...
The aim of this thesis is to describe and derive the test of analysis of variance with random effect...
This work was partially supported by CMA/FCT/UNL, under the project PEst-OE/MAT/UI0297/2011.Given a ...
This paper is published in Educational and Psychological Measurement (Impact factor 0.831, ranked 19...
This paper is published in Educational and Psychological Measurement (Impact factor 0.831, ranked 19...
We consider inferences in a one-way ANOVA model with equicorrelation error structures. Hypotheses of...
In this paper we consider the analysis of variance (ANOVA) F-tests, and rank statistic analogs, for ...
grantor: University of TorontoThe one-way random effects model is a one-way linear model w...
grantor: University of TorontoThe one-way random effects model is a one-way linear model w...
Abstract: The one-factor random-effect model is presented. Two simulated datasets are analyzed. and ...
We introduce the concept of functional data and the problem of functional analysis of variance, whic...
Numerous papers have shown that the conventional F test is not robust to unequal variances in the on...
The classical F-test for unequal means in a one-way ANOVA is known to be misleading when the populat...
The bachelor thesis focuses on the One-way ANOVA and its nonparametric counterpart the Kruskal-Walli...
A framework for comparing normal population means in the presence of heteroscedasticity and outliers...
Analysis of variance (ANOVA) is one of the most frequently used statistical analysis in several rese...
The aim of this thesis is to describe and derive the test of analysis of variance with random effect...
This work was partially supported by CMA/FCT/UNL, under the project PEst-OE/MAT/UI0297/2011.Given a ...
This paper is published in Educational and Psychological Measurement (Impact factor 0.831, ranked 19...
This paper is published in Educational and Psychological Measurement (Impact factor 0.831, ranked 19...
We consider inferences in a one-way ANOVA model with equicorrelation error structures. Hypotheses of...
In this paper we consider the analysis of variance (ANOVA) F-tests, and rank statistic analogs, for ...
grantor: University of TorontoThe one-way random effects model is a one-way linear model w...
grantor: University of TorontoThe one-way random effects model is a one-way linear model w...
Abstract: The one-factor random-effect model is presented. Two simulated datasets are analyzed. and ...
We introduce the concept of functional data and the problem of functional analysis of variance, whic...
Numerous papers have shown that the conventional F test is not robust to unequal variances in the on...
The classical F-test for unequal means in a one-way ANOVA is known to be misleading when the populat...
The bachelor thesis focuses on the One-way ANOVA and its nonparametric counterpart the Kruskal-Walli...
A framework for comparing normal population means in the presence of heteroscedasticity and outliers...