Estimating parameters in autoregressive models in non-normal situations: Asymmetric innovations


Akkaya A. , Tiku M.

Communications in Statistics - Theory and Methods, cilt.30, sa.3, ss.517-536, 2001 (SCI Expanded İndekslerine Giren Dergi) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Konu: 3
  • Basım Tarihi: 2001
  • Doi Numarası: 10.1081/sta-100002095
  • Dergi Adı: Communications in Statistics - Theory and Methods
  • Sayfa Sayıları: ss.517-536

Özet

The estimation of coefficients in a simple autoregressive model is considered in a supposedly difficult situation where the innovations have an asymmetric distribution. Two distributions, gamma and generalized logistic, are considered for illustration. Closed form estimators are obtained and shown to be efficient and robust. Efficiencies of least squares estimators are evaluated and shown to be very low. This work is an extension of that of Tiku, Wong and Bian [1] who give solutions for a simple AR(I) model.