Gregor Gawron Alexandre, I found once a code to calculate Shapiro_Francia and D'Agostino tests of normality written long time ago by Peter B. Below his code and references (It is in spanish, I assume): Gregor #-------------------------------------------------------------------------------------- I coded the Shapiro-Francia test which handles from 5 to 5000 observations from Patrick Royston 1993 A Pocket-Calculator Algorithm for the Shapiro-Francia Test for Non-Normality: An Application to at Aug 31, 2004 at 7:50 am. Scofield Hi, See below, taken pretty much verbatim from Zar (1999) Douglas G. Scofield, PhD Department of Biology scofield at bio.indiana.edu Indiana University off: (812) 856-0115 1001 E. Fax: (812) 855-6705 Bloomington, IN cell: (786) 514-9141 --------------------------------------------------------------- dagostino.pearson.test.

Ludwig Baringhaus Unlike the Shapiro-Wilk or the Anderson-Darling test, the D'Agostino test is not an omnibus test for testing the hypothesis of normality. In fact, D'Agostino's D is a suitable test statistic for testing the hypothesis of uniformity. See Baringhaus and Henze (1990). A test for uniformity with unknown limits based on D'Agostino's D. 9, 299-304 L. Baringhaus Institut fuer Mathematische Stochastik Universitaet Hannover Welfengarten 1 30167 Hannover at Sep 1, 2004 at 10:20 am.

Several versions of the D'Agostino Test are implemented in 'fBasics' from Rmetrics beside many other tests for normality.Unlike the Shapiro-Wilk or the Anderson-Darling test, the D'Agostino test is not an omnibus test for testing the hypothesis of normality. In fact, D'Agostino's D is a suitable test statistic for testing the hypothesis of uniformity. See Baringhaus and Henze (1990). A test for uniformity with unknown limits based on D'Agostino's D. 9, 299-304 L. Baringhaus Institut fuer Mathematische Stochastik Universitaet Hannover Welfengarten 1 30167 Hannover. Diethelm Wuertz So far, my understanding was the following that the D??Agostino(-Pearson) omnibus test analyzes the data to determine skewness and kurtosis.

It then calculates how far each of these values differs from the value expected with a Gaussian distribution, and computes a P value from the sum of the squares of these discrepancies. Unlike the Shapiro-Wilk test, this test is not affected if the data contains identical values. This kind of test is implemented in several other software packages under the.

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Ludwig Baringhaus wrote: Several versions of the D'Agostino Test are implemented in 'fBasics' from Rmetrics beside many other tests for normality Unlike the Shapiro-Wilk or the Anderson-Darling test, the D'Agostino test is not an omnibus test for testing the hypothesis of normality. Pumpkinhead 2 Rapidshare Premium here. In fact, D'Agostino's D is a suitable test statistic for testing the hypothesis of uniformity. Install Igo8 On Myguide 3100 Go.

See Baringhaus and Henze (1990). A test for uniformity with unknown limits based on D'Agostino's D. 9, 299-304 So far, my understanding was the following that the D??Agostino(-Pearson) omnibus test analyzes the data to determine skewness and kurtosis. It then calculates how far each of these values differs from the value expected with a Gaussian distribution, and computes a P value from the sum of the squares of these discrepancies. Unlike the Shapiro-Wilk test, this test is not affected if the data contains identical values.

This kind of test is implemented in several other software packages under the name 'd'Agostino Test'. May be we are talking about different things. Wuertz PS: Thanks for the reference, I will have a look on it to clarify my understanding. E.g., see also: R.B. D'Agostino, 'Tests for Normal Distribution' in /Goodness-Of-Fit Techniques/ E. Seier, 'Comparisons of Tests for Univariate Normality' J.D.

McCauley, 'Goodness of Fit Tests' UITS, 'Testing for Normality'.