Shapiro-Wilk and Shapiro-Francia normality tests.
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.
Citation pour cette source
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. Récupéré le .
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A inspiré : SimOutUtils, test, BoxPlotPro, Weighted Nonlinear Curve Fit Script with Plotter, Reference Interval Verification and Definition
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Version | Publié le | Notes de version | |
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1.1.0.0 | - Improved precision for sample size = 3;
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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. |