The Log-gamma-logistic Regression Model: Estimation, Sensibility and Residual Analysis
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 data since it represents a parametric family of models that includes as sub-models several widely-known regression models...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2017-11-01
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Series: | Journal of Statistical Theory and Applications (JSTA) |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25887941.pdf |