Reparameterized extended Maxwell regression: Properties, estimation and application

Fábio Prataviera, Roberto Vila, Vicente G. Cancho, Edwin M. M. Ortega and Gauss M. Cordeiro

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 20, 7252-7270

Abstract: We propose a reparameterized regression for the median of an extended Maxwell distribution that can be used when the response variable has a positive support. We obtain some structural properties of the distribution. The parameter estimates are obtained by maximum likelihood and Bayesian methods. Some influence measures and quantile residuals are defined. Several Monte Carlo simulations are reported for inference purposes. The new regression is applied to an experimental data set.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:52:y:2023:i:20:p:7252-7270

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DOI: 10.1080/03610926.2022.2042561

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