Shapiro-Wilk and Shapiro-Francia normality tests.

Shapiro-Wilk & Shapiro-Francia parametric hypothesis test of composite normality.
ダウンロード: 25.3K
更新 2014/6/18

ライセンスの表示

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.

引用

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. 取得済み .

MATLAB リリースの互換性
作成: R14
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linux
カテゴリ
Help Center および MATLAB AnswersHypothesis Tests についてさらに検索

Community Treasure Hunt

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

Start Hunting!
バージョン 公開済み リリース ノート
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.