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

Author

Listed:
  • J. C. S. Vasconcelos
  • E. M. M. Ortega
  • J. S. Vasconcelos
  • G. M. Cordeiro
  • A. L. Vivan
  • M. A. M. Biaggioni

Abstract

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.

Suggested Citation

  • J. C. S. Vasconcelos & E. M. M. Ortega & J. S. Vasconcelos & G. M. Cordeiro & A. L. Vivan & M. A. M. Biaggioni, 2022. "A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(8), pages 2035-2051, June.
    • Handle: RePEc:taf:japsta:v:49:y:2022:i:8:p:2035-2051
    DOI: 10.1080/02664763.2021.1890001
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