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The Log-gamma-logistic Regression Model: Estimation, Sensibility and Residual Analysis

  • Hashimoto E
  • Ortega E
  • Cordeiro G
  • et al.
Journal of Statistical Theory and Applications (2017) 16(4) 547
DOI: 10.2991/jsta.2017.16.4.9
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Abstract

In this paper, we formulate and develop a log-linear model using a new distribution called the log-gammalogistic. We show that the new regression model can be applied to censored …

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Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., & Hamedani, G. G. (2017). The Log-gamma-logistic Regression Model: Estimation, Sensibility and Residual Analysis. Journal of Statistical Theory and Applications, 16(4), 547. https://doi.org/10.2991/jsta.2017.16.4.9

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