On a von Mises-type circular distribution

We introduce a two-parameter circular family of distributions based on the traditional von Mises distribution. A comprehensive account of the general properties of the new circular distribution is provided. Maximum likelihood estimation of the model parameters is discussed, and we provide a simple method to find the maximum likelihood estimates numerically. We also derive the expected Fisher information matrix for the model parameters. An empirical application to a real data set is considered to illustrate the new circular distribution in practice.

Authors

Institutions

Publication Details

Journal
Anais da Academia Brasileira de Ciências
Published
2025-01-01
DOI
https://doi.org/10.1590/0001-3765202520240869
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On a von Mises-type circular distribution

Artur J. Lemonte, Fredy Castellares
Anais da Academia Brasileira de Ciências
Bayesian Methods and Mixture Models
article

On a von Mises-type circular distribution

Artur J. Lemonte, Fredy Castellares
article en

Abstract

We introduce a two-parameter circular family of distributions based on the traditional von Mises distribution. A comprehensive account of the general properties of the new circular distribution is provided. Maximum likelihood estimation of the model parameters is discussed, and we provide a simple method to find the maximum likelihood estimates numerically. We also derive the expected Fisher information matrix for the model parameters. An empirical application to a real data set is considered to illustrate the new circular distribution in practice.

Anais da Academia Brasileira de CiênciasVol. 97(3)
Universidade Federal do Rio Grande do Norte (BR), Universidade Federal de São Paulo (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Openalex Percentile: Top 92%
Bayesian Methods and Mixture Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.