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Abstract
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Recently, 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.
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