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Titel |
Modelling complex geological circular data with the projected normal distribution and mixtures of von Mises distributions |
VerfasserIn |
R. M. Lark, D. Clifford, C. N. Waters |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1869-9510
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Digitales Dokument |
URL |
Erschienen |
In: Solid Earth ; 5, no. 2 ; Nr. 5, no. 2 (2014-07-04), S.631-639 |
Datensatznummer |
250115313
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Publikation (Nr.) |
copernicus.org/se-5-631-2014.pdf |
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Zusammenfassung |
Circular data are commonly encountered in the earth sciences and statistical
descriptions and inferences about such data are necessary in structural
geology. In this paper we compare two statistical distributions appropriate
for complex circular data sets: the mixture of von Mises and the projected
normal distribution. We show how the number of components in a mixture of von
Mises distribution may be chosen, and how one may choose between the
projected normal distribution and the mixture of von Mises for a particular
data set. We illustrate these methods with a few structural geological data,
showing how the fitted models can complement geological interpretation and
permit statistical inference. One of our data sets suggests a special case of
the projected normal distribution which we discuss briefly. |
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