The logit exponentiated power exponential regression with applications

Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/49192

Título:	The logit exponentiated power exponential regression with applications
Palavras-chave:	Beta regression Exponentiated power exponential distribution Likelihood inference Residual analysis Regressão beta Distribuição exponencial Inferência estatística Análise residual
Data do documento:	Jun-2021
Editor:	Springer Nature
Citação:	PRATAVIERA, F. et al. The logit exponentiated power exponential regression with applications. Annals of Data Science, [S. I.], 2021. DOI: https://doi.org/10.1007/s40745-021-00347-8.
Resumo:	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.
URI:	https://doi.org/10.1007/s40745-021-00347-8 http://repositorio.ufla.br/jspui/handle/1/49192
Aparece nas coleções:	DCS - Artigos publicados em periódicos

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