Ridge-type pretest and shrinkage estimations in partially linear models

YÜZBAŞI B., Ahmed S. E., AYDIN D.

STATISTICAL PAPERS, cilt.61, sa.2, ss.869-898, 2020 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 61 Sayı: 2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s00362-017-0967-8
  • Dergi Adı: STATISTICAL PAPERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, International Bibliography of Social Sciences, ABI/INFORM, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, EconLit, zbMATH
  • Sayfa Sayıları: ss.869-898
  • Anahtar Kelimeler: Pretest estimation, Shrinkage estimation, Ridge regression, Smoothing spline, Partially linear model, SMOOTHNESS PRIORS, ABSOLUTE PENALTY, REGRESSION, SELECTION
  • İnönü Üniversitesi Adresli: Evet

Özet

In this paper, we suggest pretest and shrinkage ridge regression estimators for a partially linear regression model, and compare their performance with some penalty estimators. We investigate the asymptotic properties of proposed estimators. We also consider a Monte Carlo simulation comparison, and a real data example is presented to illustrate the usefulness of the suggested methods.