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Annals of Data Science
Published in:

11-06-2021

The Logit Exponentiated Power Exponential Regression with Applications

Authors: Fábio Prataviera, Aline Martineli Batista, Edwin M. M. Ortega, Gauss M. Cordeiro, Bruno Montoani Silva

Published in: Annals of Data Science | Issue 3/2023

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Abstract

We introduce a new distribution, called the logit exponentiated power exponential, defined on the unit interval. Explicit expansions are derived for its moments. Also, we propose a regression based on this distribution with two systematic components, which can provide better fits than the beta and simplex regressions. Its parameters are estimated by maximum likelihood. Some simulations investigate the accuracy of the estimates. The usefulness of the new models is proved by means of three real data sets.
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Appendix
Available only for authorised users
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Metadata
Title
The Logit Exponentiated Power Exponential Regression with Applications
Authors
Fábio Prataviera
Aline Martineli Batista
Edwin M. M. Ortega
Gauss M. Cordeiro
Bruno Montoani Silva
Publication date
11-06-2021
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 3/2023
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-021-00347-8

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