Korkmaz, Mustafa ÇağatayAltun, EmrahAlizadeh, MoradEl-Morshedy, Mahmoud2021-11-292021-11-292021Korkmaz, M. Ç., Altun, E., Alizadeh, M., & El-Morshedy, M. (2021). The Log Exponential-Power Distribution: Properties, Estimations and Quantile Regression Model. Mathematics, 9(21), 2634.https://hdl.handle.net/11494/3566Recently, bounded distributions have attracted attention. These distributions are frequently used in modeling rate and proportion data sets. In this study, a new alternative model is proposed for modeling bounded data sets. Parameter estimations of the proposed distribution are obtained via maximum likelihood method. In addition, a new regression model is defined under the proposed distribution and its residual analysis is examined. As a result of the empirical studies on real data sets, it is observed that the proposed regression model gives better results than the unit-Weibull and Kumaraswamy regression models.eninfo:eu-repo/semantics/openAccessExponential-power distributionPoint estimationQuantile regressionResidualsUnit exponential-power distributionThe log exponential-power distribution: Properties, estimations and quantile regression modelArticle92110.3390/math9212634Q1Q1