Probability plots based on Student's t-distribution

The validity of the normal distribution as an error model is commonly tested with a (half) normal probability plot. Real data often contain outliers. The use of t‐distributions in a probability plot to model such data more realistically is described. It is shown how a suitable value of the parameter...

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Bibliographic Details
Published in:Acta crystallographica. Section A, Foundations of crystallography Vol. 65; no. 4; pp. 319 - 321
Main Authors: Hooft, Rob W. W., Straver, Leo H., Spek, Anthony L.
Format: Journal Article
Language:English
Published: 5 Abbey Square, Chester, Cheshire CH1 2HU, England International Union of Crystallography 01-07-2009
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Summary:The validity of the normal distribution as an error model is commonly tested with a (half) normal probability plot. Real data often contain outliers. The use of t‐distributions in a probability plot to model such data more realistically is described. It is shown how a suitable value of the parameter ν of the t‐distribution can be determined from the data. The results suggest that even data that seem to be modeled well using a normal distribution can be better modeled using a t‐distribution.
Bibliography:istex:7AA9B804AD9E557C2E08AE8C48197EBDDA8B2DC2
ArticleID:AYAZM5057
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ISSN:0108-7673
1600-5724
2053-2733
DOI:10.1107/S0108767309009908