Shapiro-Wilk and Shapiro-Francia normality tests.

Shapiro-Wilk & Shapiro-Francia parametric hypothesis test of composite normality.
25,1K descargas
Actualizado 18 jun 2014

Ver licencia

Shapiro-Wilk parametric hypothesis test of composite normality, for sample size 3<= n <= 5000. Based on Royston R94 algorithm.
This test also performs the Shapiro-Francia normality test for platykurtic samples.

Citar como

Ahmed BenSaïda (2024). Shapiro-Wilk and Shapiro-Francia normality tests. (https://www.mathworks.com/matlabcentral/fileexchange/13964-shapiro-wilk-and-shapiro-francia-normality-tests), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R14
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versión Publicado Notas de la versión
1.1.0.0

- Improved precision for sample size = 3;
- Added detailed references;
- Removed the TAIL option (not needed);
- Minor bug fixes.

1.0.0.0

Change the value in line 136 to 0.26758 instead of 0.026758 (Shapiro-Francia) to correct the significance level. Thanks to Kent Parsons for his remarks.