A SAS/IML Macro for computing percentage points of Pearson distributions.
Publication
, Journal Article
Pan, W
Published in: Journal of Statistical Software
September 2009
The Pearson distribution family provides approximations to a wide variety of observed distributions using the first four moments or the first three moments with a left or right boundary. Curve fitting utilizing Pearson distributions has been extensively applied in many fields. However, in practice, it is quite unwieldy to obtain percentage points of Pearson distributions when consulting the massive tables of Pearson and Hartley (1972) or using the out-of-date computer programs (Amos and Daniel 1971; Bouver and Bargmann 1974; Davis and Stephens 1983). The present study compiled a convenient computer program for computing the percentage points using the contemporary SAS/IML (SAS Institute Inc. 2008) macro language.
Duke Scholars
Published In
Journal of Statistical Software
Publication Date
September 2009
Volume
31 (Code Snippet 2)
Start / End Page
1 / 6
Related Subject Headings
- Statistics & Probability
- 0104 Statistics
Citation
APA
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ICMJE
MLA
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Pan, W. (2009). A SAS/IML Macro for computing percentage points of Pearson distributions. Journal of Statistical Software, 31 (Code Snippet 2), 1–6.
Pan, W. “A SAS/IML Macro for computing percentage points of Pearson distributions.” Journal of Statistical Software 31 (Code Snippet 2) (September 2009): 1–6.
Pan W. A SAS/IML Macro for computing percentage points of Pearson distributions. Journal of Statistical Software. 2009 Sep;31 (Code Snippet 2):1–6.
Pan, W. “A SAS/IML Macro for computing percentage points of Pearson distributions.” Journal of Statistical Software, vol. 31 (Code Snippet 2), Sept. 2009, pp. 1–6.
Pan W. A SAS/IML Macro for computing percentage points of Pearson distributions. Journal of Statistical Software. 2009 Sep;31 (Code Snippet 2):1–6.
Published In
Journal of Statistical Software
Publication Date
September 2009
Volume
31 (Code Snippet 2)
Start / End Page
1 / 6
Related Subject Headings
- Statistics & Probability
- 0104 Statistics