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- Title
The Alpha-Beta Skew Logistic Distribution: Properties and Applications.
- Authors
Esmaeili, Hamid; Lak, Fazlollah; Alizadeh, Morad; Dehghan Monfared, Mohammad Esmail
- Abstract
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.
- Subjects
SKEWNESS (Probability theory); MONTE Carlo method; MAXIMUM likelihood statistics
- Publication
Statistics, Optimization & Information Computing, 2020, Vol 8, Issue 1, p304
- ISSN
2311-004X
- Publication type
Article
- DOI
10.19139/soic-2310-5070-706