Semiparametric Bayesian circular statistics

McVinish, R. and Mengersen, K. (2008) Semiparametric Bayesian circular statistics. Computational Statistics and Data Analysis, 52 10: 4722-4730. doi:10.1016/j.csda.2008.03.016

Author McVinish, R.
Mengersen, K.
Title Semiparametric Bayesian circular statistics
Journal name Computational Statistics and Data Analysis   Check publisher's open access policy
ISSN 0167-9473
Publication date 2008-06-15
Year available 2008
Sub-type Article (original research)
DOI 10.1016/j.csda.2008.03.016
Open Access Status
Volume 52
Issue 10
Start page 4722
End page 4730
Total pages 9
Place of publication Amsterdam, The Netherlands
Publisher Elsevier BV
Language eng
Subject 0104 Statistics
0802 Computation Theory and Mathematics
Abstract In areas such as biology, geology and meteorology data often occur as angles. This paper examines the use of Bayesian mixtures of triangular distributions for the semiparametric analysis of circular data. Applications to density estimation, goodness-of-fit testing and semiparametric regression are demonstrated. © 2008 Elsevier B.V. All rights reserved.
Keyword Statistical computation
Statistical regression
Statistical test
Goodness of fit test
Density estimation
Data analysis
Distribution function
Mixed distribution
Statistical method
Bayes estimation
Semiparametric method
Non parametric estimation
Filtering theory
Prediction theory
Statistical estimation
Stochastic process
Medical science
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Mathematics and Physics
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Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
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Created: Tue, 19 Jan 2010, 00:08:51 EST by Jon Swabey on behalf of Faculty of Science