Generalized difference-based weighted mixed almost unbiased ridge estimator in partially linear models
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Dosyalar
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer New York LLC
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, a generalized difference-based estimator is introduced for the vector parameter (Formula presented.) in partially linear model when the errors are correlated. A generalized difference-based almost unbiased ridge estimator is defined for the vector parameter (Formula presented.). Under the linear stochastic constraint (Formula presented.), a new generalized difference-based weighted mixed almost unbiased ridge estimator is proposed. The performance of this estimator over the generalized difference-based weighted mixed estimator, the generalized difference-based estimator, and the generalized difference-based almost unbiased ridge estimator in terms of the mean square error matrix criterion is investigated. Then, a method to select the biasing parameter k and non-stochastic weight (Formula presented.) is considered. The efficiency properties of the new estimator is illustrated by a simulation study. Finally, the performance of the new estimator is evaluated for a real dataset.
Açıklama
Anahtar Kelimeler
Difference-Based Estimator, Generalized Difference-Based Weighted Mixed Almost unbiased ridge estimator, Generalized Ridge Estimator, Partially Linear Model, Weighted Mixed Estimator
Kaynak
Statistical Papers
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
