Generalized difference-based weighted mixed almost unbiased ridge estimator in partially linear models
Fikri Akdeniz () and
Mahdi Roozbeh ()
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Fikri Akdeniz: Çağ University
Mahdi Roozbeh: Semnan University
Statistical Papers, 2019, vol. 60, issue 5, No 14, 1717-1739
Abstract In this paper, a generalized difference-based estimator is introduced for the vector parameter $$\beta $$ β in partially linear model when the errors are correlated. A generalized difference-based almost unbiased ridge estimator is defined for the vector parameter $$\beta $$ β . Under the linear stochastic constraint $$r=R\beta +e$$ r = R β + e , 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 $$\omega $$ ω 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.
Keywords: Difference-based estimator; Generalized ridge estimator; Generalized difference-based weighted mixed almost unbiased ridge estimator; Partially linear model; Weighted mixed estimator; Primary 62 G05; Seconday 62J05; 62J07 (search for similar items in EconPapers)
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