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of 52
pro vyhledávání: '"Arthur Pewsey"'
Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of ra
Publikováno v:
TEST. 31:595-618
This article proposes an approach, based on infinite Fourier series, to constructing tractable densities for the bivariate circular analogues of copulas recently coined ‘circulas’. As examples of the general approach, we consider circula densitie
Publikováno v:
TEST. 30:76-82
Publikováno v:
Journal of Time Series Analysis. 41:808-829
Circular data are those for which the natural support is the unit circle and its toroidal extensions. Numerous constructions have been proposed which can be used to generate models for such data. We propose a new, very general, one based on the norma
Autor:
Arthur Pewsey
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society. 185:S759-S760
Publikováno v:
Statistical papers
Symmetry is one of the most fundamental of dividing hypotheses, its rejection, or not, heavily influencing subsequent modeling strategies. In this paper, the authors construct tests for circular reflective symmetry about an unknown central direction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b39dbc806b857c5674136b58dda4ba6d
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/298673
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/298673
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Mainstream statistical methodology is generally applicable to data observed in Euclidean space. There are, however, numerous contexts of considerable scientific interest in which the natural supports for the data under consideration are Riemannian ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::345ca3d767825f41df38878c7b99d774
Autor:
Arthur Pewsey
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-10
Autor:
Arthur Pewsey
Publikováno v:
TEST. 27:147-172
Four-parameter sinh–arcsinh classes provide flexible distributions with which to model skew, as well as light- or heavy-tailed, departures from a symmetric base distribution. A quantile-based method of estimating their parameters is proposed and th
Autor:
Arthur Pewsey
Publikováno v:
Applied Directional Statistics ISBN: 9781315228570
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60ae3a1c9fca2d40fc8932a58019cb50
https://doi.org/10.1201/9781315228570-21
https://doi.org/10.1201/9781315228570-21