VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION

Daniel Hernandez-Stumpfhauser (), F. Jay Breidt () and Jean D. Opsomer ()
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Daniel Hernandez-Stumpfhauser: University of North CarolinaÔÇôChapel Hill.
F. Jay Breidt: Colorado State University.
Jean D. Opsomer: Colorado State University.

Statistics in Transition New Series, 2016, vol. 17, issue 1, 91-104

Abstract: We consider hierarchical regression models for circular data using the projected normal distribution, applied in the development of weights for...

Keywords: deviance information criterion; Laplace approximation; model selection; projected normal distribution (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:exl:29stat:v:17:y:2016:i:1:p:91-104

DOI: 10.21307/stattrans-2016-007

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