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...

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Principais autores:	Elizabeth M. Hashimoto, Edwin M.M. Ortega, Gauss M. Cordeiro, G.G. Hamedani
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer 2017-11-01
Serija:	Journal of Statistical Theory and Applications (JSTA)
Teme:	Censored data; gamma-log-logistic distribution; regression model; residual analysis; sensitivity analysis.
Online dostop:	https://www.atlantis-press.com/article/25887941.pdf
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