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Analysis of variance of primary data on plant growth analysis.
(Pesquisa Agropecuária Brasileira, Brasília, v. 38, nº 1, p.1-10, jan. 2003., 2011)
Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística, 2016-01-01)
In this study, robust Brown-Forsythe and robust Modified Brown-Forsythe ANOVA tests are proposed to take into consideration heteroscedastic and non-normality data sets with outliers. The non-normal data is assumed to be a ...
Comparing the effectiveness of k-different treatments through the area under the ROC curve
(John Wiley and Sons Inc, 2024)
Estimation and Testing in One-Way ANOVA when the Errors are Skew-Normal
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística, 2015-01-01)
We consider one-way analysis of variance (ANOVA) model when the error terms have skew- normal distribution. We obtain the estimators of the model parameters by using the maximum likelihood (ML) and the modified maximum ...
Robust tests for linear regression models based on τ-estimates
(Elsevier Science, 2016-01)
ANOVA tests are the standard tests to compare nested linear models fitted by least squares. These tests are equivalent to likelihood ratio tests, so they have high power. However, least squares estimators are very vulnerable ...
Structural damage detection in an aeronautical panel using analysis of variance
(Elsevier B.V., 2015-02-01)
This paper describes a procedure for structural health assessment based on one-way analysis of variance (ANOVA) together with Tukey's multiple comparison test, to determine whether the results are statistically ...
Data analysis in forest sciences: why do we continue using null hypothesis significance tests?
(Universidad Austral de Chile, Facultad de Ciencias Forestales, 2011)