Atıf İçin Kopyala
YÜZBAŞI B., Ahmed S. E., AYDIN D.
STATISTICAL PAPERS, cilt.61, sa.2, ss.869-898, 2020 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
61
Sayı:
2
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Basım Tarihi:
2020
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Doi Numarası:
10.1007/s00362-017-0967-8
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Dergi Adı:
STATISTICAL PAPERS
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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
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Sayfa Sayıları:
ss.869-898
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Anahtar Kelimeler:
Pretest estimation, Shrinkage estimation, Ridge regression, Smoothing spline, Partially linear model, SMOOTHNESS PRIORS, ABSOLUTE PENALTY, REGRESSION, SELECTION
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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.