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<p>There are practical situations in which continuous data on the positive real line contain an excess of zeros. In this context, building on the flexibility of the beta prime (BP) distribution, we introduce the zero-adjusted BP distribution that accommodate the presence of zeros and propose zero-adjusted BP regression to deal with the issue of regression estimation when there are data with zeros in the dependent variable. The maximum likelihood method is used to estimate the model parameters. Also, we consider residual analysis. Simulation studies are conducted to evaluate its finite sample performance. Finally, a real dataset from a population-based study of fumonisin production by Fusarium verticillioides in corn grains, conducted by the Institute of Biomedical Sciences at the University of São Paulo, is discussed in detail.</p>

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Zero-adjusted beta prime regression model

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月9日

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  • Kleber H. dos Santos,
  • Tarciana L. Pereira,
  • Gedeão do N. Corpes,
  • Tatiene C. Souza,
  • Manoel Santos-Neto,
  • Marcelo Bourguignon

摘要

There are practical situations in which continuous data on the positive real line contain an excess of zeros. In this context, building on the flexibility of the beta prime (BP) distribution, we introduce the zero-adjusted BP distribution that accommodate the presence of zeros and propose zero-adjusted BP regression to deal with the issue of regression estimation when there are data with zeros in the dependent variable. The maximum likelihood method is used to estimate the model parameters. Also, we consider residual analysis. Simulation studies are conducted to evaluate its finite sample performance. Finally, a real dataset from a population-based study of fumonisin production by Fusarium verticillioides in corn grains, conducted by the Institute of Biomedical Sciences at the University of São Paulo, is discussed in detail.