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Abstract
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A new family of skew distributions is introduced by extending the alpha skew logistic distribution proposed
by Hazarika-Chakraborty [9]. This family of distributions is called the alpha-beta skew logistic (ABSLG) distribution.
Density function, moments, skewness and kurtosis coefficients are derived. The parameters of the new family are estimated
by maximum likelihood and moments methods. The performance of the obtained estimators examined via a Monte carlo
simulation. Flexibility, usefulness and suitability of ABSLG is illustrated by analyzing two real data sets.
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