A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil

A heteroscedastic regression based on the odd log-logistic Marshall-Olkin normal (OLLMON) distribution is defined by extending previous models. Some structural properties of this distribution are presented. The estimation of the parameters is addressed by maximum likelihood. For different parameter...

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Bibliographic Details
Published in:Journal of applied statistics 2022-06, Vol.49 (8), p.2035-2051
Main Authors: Vasconcelos, J. C. S., Ortega, E. M. M., Vasconcelos, J. S., Cordeiro, G. M., Vivan, A. L., Biaggioni, M. A. M.
Format: Article
Language:English
Subjects:
Carbonization in building
heteroscedastic regression
lignocellulosic mass loss
Marshall-Olkin family
regression model
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Summary:A heteroscedastic regression based on the odd log-logistic Marshall-Olkin normal (OLLMON) distribution is defined by extending previous models. Some structural properties of this distribution are presented. The estimation of the parameters is addressed by maximum likelihood. For different parameter settings, sample sizes and some scenarios, various simulations investigate the performance of the heteroscedastic OLLMON regression. We use residual analysis to detect influential observations and to check the model assumptions. The new regression explains the mass loss of different wood species in civil construction in Brazil.
ISSN:0266-4763
1360-0532
DOI:10.1080/02664763.2021.1890001