ROBUST ESTIMATION WITH THE SKEW t(2) DISTRIBUTION

Acitas S., KASAP P., ŞENOĞLU B., ARSLAN O.

PAKISTAN JOURNAL OF STATISTICS, cilt.29, sa.4, ss.409-430, 2013 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 4
  • Basım Tarihi: 2013
  • Dergi Adı: PAKISTAN JOURNAL OF STATISTICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.409-430
  • Anahtar Kelimeler: Asymmetric distribution, heavy-tailed distribution, M estimator, MML estimator, Monte Carlo simulation, ESTIMATING PARAMETERS, T-DISTRIBUTION, REGRESSION, MODEL
  • Ankara Üniversitesi Adresli: Evet

Özet

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.