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WLreg: A new re-parametrization of the Weighted Lindley distribution and its regression model

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  • Emrah Altun
  • Christophe Chesneau
  • Hana N Alqifari

Abstract

A novel re-parametrization of the weighted Lindley distribution is introduced to develop a regression model suitable for skewed dependent variables defined on ℝ+. This new model is called the WL2 regression model. It is shown to outperform existing models such as the gamma, extended gamma, and Maxwell-Boltzmann-exponential regression models. Parameter estimation is performed using the maximum likelihood estimation technique, and the efficiency of these estimates is assessed through a simulation study. An application to a house price data set is presented to highlight the importance of the WL2 regression model. In addition, we propose the WLreg software, accessible via https://bartinuni.shinyapps.io/WLreg, to facilitate the application of the new regression model for practitioners in the field.

Suggested Citation

  • Emrah Altun & Christophe Chesneau & Hana N Alqifari, 2025. "WLreg: A new re-parametrization of the Weighted Lindley distribution and its regression model," PLOS ONE, Public Library of Science, vol. 20(6), pages 1-15, June.
    • Handle: RePEc:plo:pone00:0324005
    DOI: 10.1371/journal.pone.0324005
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