PUBLICACIÓN

Models for circular data from time series spectra

ACCEDER A LA PUBLICACIÓN: Scopus

Taniguchi M., Kato S., Ogata H., Pewsey A.

2020 JOURNAL OF TIME SERIES ANALYSIS

Applied Mathematics (Q1), Statistics and Probability (Q1), Statistics, Probability and Uncertainty (Q1)

JCR: 1.366

SJR: 1.576

CITAS

9

DOI

10.1111/jtsa.12549

EID

2-s2.0-85088384110

ISSN

0143-9782

EISSN

1467-9892

AUTORES DE LA UEX

Arthur Richard Pewsey

OTRAS PUBLICACIONES DE INTERÉS

Parametric Bootstrap Edf-Based Goodness-Of-Fit Testing For Sinh–arcsinh Distributions
High Expectations On Phase Locking: Better Quantifying The Concentration Of Circular Data
Tractable Circula Densities From Fourier Series
High Expectations On Phase Locking: Better Quantifying The Concentration Of Circular Data
Tractable Circula Densities From Fourier Series
On Optimal Tests For Circular Reflective Symmetry About An Unknown Central Direction
Tractable Circula Densities From Fourier Series
On Optimal Tests For Circular Reflective Symmetry About An Unknown Central Direction
Rejoinder On: Recent Advances In Directional Statistics
On Optimal Tests For Circular Reflective Symmetry About An Unknown Central Direction
Rejoinder On: Recent Advances In Directional Statistics
Tractable Circula Densities From Fourier Series
Rejoinder On: Recent Advances In Directional Statistics
Tractable Circula Densities From Fourier Series
Recent Advances In Directional Statistics
Tractable Circula Densities From Fourier Series
Recent Advances In Directional Statistics
Models For Circular Data From Time Series Spectra
Recent Advances In Directional Statistics
Models For Circular Data From Time Series Spectra
The Sinh-Arcsinh Normal Distribution
Models For Circular Data From Time Series Spectra
The Sinh-Arcsinh Normal Distribution
Parametric Bootstrap Edf-Based Goodness-Of-Fit Testing For Sinh–arcsinh Distributions
The Sinh-Arcsinh Normal Distribution
Parametric Bootstrap Edf-Based Goodness-Of-Fit Testing For Sinh–arcsinh Distributions
High Expectations On Phase Locking: Better Quantifying The Concentration Of Circular Data
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