Pewsey, Authur and Jones, M. C.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1080/02331880500031597|
|Google Scholar:||Look up in Google Scholar|
Important similarities and differences are known to exist between the von Mises and wrapped normal distributions, two of the principal models for circular data. In this paper, we consider likelihood-based approaches to determining the sample size required in order to reliably discriminate between the two models. We make use of three new misclassification probability-based criteria to establish lower and upper bounds for the sample size.
|Item Type:||Journal Article|
|Copyright Holders:||2005 Taylor & Francis|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Colin Smith|
|Date Deposited:||04 Sep 2009 09:33|
|Last Modified:||04 Oct 2016 10:27|
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