ROBUST ESTIMATION WITH THE SKEW t(2) DISTRIBUTION
PAKISTAN JOURNAL OF STATISTICS, vol.29, no.4, pp.409-430, 2013 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 29 Issue: 4
- Publication Date: 2013
- Journal Name: PAKISTAN JOURNAL OF STATISTICS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.409-430
- Keywords: Asymmetric distribution, heavy-tailed distribution, M estimator, MML estimator, Monte Carlo simulation, ESTIMATING PARAMETERS, T-DISTRIBUTION, REGRESSION, MODEL
- Ondokuz Mayıs University Affiliated: Yes
Abstract
In this paper, a skew extension of the Student's t distribution with two degrees of freedom is used to model data sets that have skewness and heavy-tails. Its parameters are estimated using two different approaches based on maximum likelihood estimation method. Simulation studies and some real data examples are provided to illustrate the performance of the skew t(2) (ST2) distribution for robust modeling of the data sets that may have skewness and heavy-tails.