Frederico Caeiro

According to our database, Frederico Caeiro authored at least 10 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2024

Reduced bias estimation of the shape parameter of the log-logistic distribution.

Frederico Caeiro, Ayana Mateus

J. Comput. Appl. Math., January, 2024

2022

Improved Shape Parameter Estimation for the Three-Parameter Log-Logistic Distribution.

Ayana Mateus, Frederico Caeiro

Comput. Math. Methods, September, 2022

The Use of Generalized Means in the Estimation of the Weibull Tail Coefficient.

Frederico Caeiro, Lígia Henriques-Rodrigues, M. Ivette Gomes

Comput. Math. Methods, September, 2022

2021

A class of weighted Hill estimators.

Frederico Caeiro, Ayana Mateus, Louiza Soltane

Comput. Math. Methods, November, 2021

A new class of estimators for the shape parameter of a Pareto model.

Ayana Mateus, Frederico Caeiro

Comput. Math. Methods, 2021

2020

Corrected-Hill versus partially reduced-bias value-at-risk estimation.

M. Ivette Gomes, Frederico Caeiro, Fernanda Figueiredo, Lígia Henriques-Rodrigues, Dinis Pestana

Commun. Stat. Simul. Comput., 2020

Minimum-variance reduced-bias estimation of the extreme value index: A theoretical and empirical study.

Frederico Caeiro, Lígia Henriques-Rodrigues, M. Ivette Gomes, Ivanilda Cabral

Comput. Math. Methods, 2020

2019

A simple class of reduced bias kernel estimators of extreme value parameters.

Frederico Caeiro, Lígia Henriques-Rodrigues, D. Prata Gomes

Comput. Math. Methods, 2019

2016

A location-invariant probability weighted moment estimation of the Extreme Value Index.

Frederico Caeiro, M. Ivette Gomes, Lígia Henriques-Rodrigues

Int. J. Comput. Math., 2016

2015

A new partially reduced-bias mean-of-order p class of extreme value index estimators.

M. Ivette Gomes, M. Fátima Brilhante, Frederico Caeiro, Dinis Pestana

Comput. Stat. Data Anal., 2015