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...
Saved in:
Published in: | Acta crystallographica. Section A, Foundations of crystallography Vol. 65; no. 4; pp. 319 - 321 |
---|---|
Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
5 Abbey Square, Chester, Cheshire CH1 2HU, England
International Union of Crystallography
01-07-2009
Wiley Subscription Services, Inc |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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 ark:/67375/WNG-ST44LSGG-L ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0108-7673 1600-5724 2053-2733 |
DOI: | 10.1107/S0108767309009908 |