Robust location and scale estimation based on the univariate generalized t (GT) distribution

Arslan O., Genc A. İ.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, cilt.32, sa.8, ss.1505-1525, 2003 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 32 Sayı: 8
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1081/sta-120022242
  • Dergi Adı: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1505-1525
  • Anahtar Kelimeler: univariate GT distribution, Box and Tiao (BT) distribution, generalized gamma (GG) distribution, maximum likelihood estimation, M-estimation, robustness, influence function, PARTIALLY ADAPTIVE ESTIMATION, REGRESSION-MODELS, BETA-ESTIMATION, MARKET MODEL
  • Çukurova Üniversitesi Adresli: Evet

Özet

In this paper, we consider the univariate generalized I (GT) distribution, which is introduced by McDonald and Newey ((1988) Partially adaptive estimation of regression models via the generalized t distribution. Econometric Theory 4:428-457.). We show that the maximum likelihood estimators for the location and the scale parameters of a GT distribution with known shape parameters can provide alternative robust estimators for the location and scale parameters of a data set. We investigate the existence and the uniqueness of the maximum likelihood estimators. We show that the likelihood function can be unimodal or multimodal depending on the different choices of the shape parameters.