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- W2393024785 abstract "Let{(Xi,Yi),i≥1}be a strictly stationary andα-mixing sample sequence fromi≥1 in Rd×R.Thei mproved kernel esti mator for regressionfunctionm(x)=E(Y|X=x)is defined by m2n(x) =∑ni =1YiI(| Yi| bi) hi-dKx-hiXi∑nj=1hj-dKx-hjXj Under suitable conditions,we prove the asymptotic normality ofm2n(x)." @default.
- W2393024785 created "2016-06-24" @default.
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- W2393024785 date "2008-01-01" @default.
- W2393024785 modified "2023-09-24" @default.
- W2393024785 title "Asymptotic Normality of Improved Kernel Estimator for Regression Function under α-mixing Samples" @default.
- W2393024785 hasPublicationYear "2008" @default.
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