welchanovawd

Versión 1.3.0.0 (3,3 KB) por Antonio Trujillo-Ortiz
Welch ANOVA Test for Unequal Variances without data.
0.0
(0)
400 Descargas
Actualizado 2 may 2013

Ver licencia

The ANOVA F-test to compare the means of k normally distributed populations is not applicable when the variances are unknown, and not known to be equal. A spacial case, k=2, is the famous Behrens-Fisher problem (Behrens, 1929; Fisher, 1935). Welch (1951) test was proposed to fill this void, a generalization to his 1947 previous paper (Welch, 1947).

This m-file works without all the data samples. But only with the size, mean and variance samples.

Syntax: function welchanova(x,alpha)

Inputs:
x – data nx2 matrix (Col 1 = data; Col 2 = sample code)
alpha - significance level (default=0.05)

Outputs:
- Summary statistics from the samples
- Decision on the null-hypothesis tested

Citar como

Antonio Trujillo-Ortiz (2026). welchanovawd (https://es.mathworks.com/matlabcentral/fileexchange/37123-welchanovawd), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2010a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre ANOVA en Help Center y MATLAB Answers.
Etiquetas Añadir etiquetas

Versión Publicado Notas de la versión
1.3.0.0

We improve the code. Thanks to Dr. Jürgen Kayser, Department of Psychiatry, Columbia University Research Scientist, Cognitive Neuroscience, New York State, who suggest us to remove a bug.
1.1.0.0

It was added an appropriate format to cite this file.
1.0.0.0