This book provides the tool to extend all the common statistical methods and models to circular data as well. In the first part of the book both the descriptive and probabilistic aspects of circular data are given. Then, the wrapping approach and the wrapped Normal distribution are deeply analyzed and an ad hoc inferential Bayesian procedure is provided. Finally, two applications of the measurement error model for circular data in a spatial and in a dynamic spatiotemporal context are presented.

Circular Data Bayesian Modeling: The Wrapping Approach

FERRARI, Clarissa
2010

Abstract

This book provides the tool to extend all the common statistical methods and models to circular data as well. In the first part of the book both the descriptive and probabilistic aspects of circular data are given. Then, the wrapping approach and the wrapped Normal distribution are deeply analyzed and an ad hoc inferential Bayesian procedure is provided. Finally, two applications of the measurement error model for circular data in a spatial and in a dynamic spatiotemporal context are presented.
9783639279993
Directional data; MCMC; Spatio-temporal process; Wrapped Normal
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/345864
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