Probability plots based on student’s t-distribution

R.W.W. Hooft, L.H. Straver, A.L. Spek

Research output: Contribution to journalArticleAcademicpeer-review


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 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.
Original languageUndefined/Unknown
Pages (from-to)319-321
Number of pages3
JournalActa crystallographica. Section A, foundations of crystallography
Publication statusPublished - 2009

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