title: Probability plots based on Student's t-distribution.
abstract: 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 nu 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.
authors.affiliation: Bruker AXS, PO Box 811, 2600 AV Delft, The Netherlands. rob@hooft.net
authors.forename: Rob W W
authors.initials: RW
authors.lastname: Hooft
authors.forename: Leo H
authors.initials: LH
authors.lastname: Straver
authors.forename: Anthony L
authors.initials: AL
authors.lastname: Spek
mesh_terms: D008962:Models, Theoretical; D016011:Normal Distribution; D011336:Probability; D016008:Statistical Distributions