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PARAMETRIC TEST IN PARTIAL LINEAR REGRESSION MODELS
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作者 高集体 《Acta Mathematica Scientia》 SCIE CSCD 1995年第S1期1-10,共10页
Consider the regression model, n. Here the design points (xi,ti) are known and nonrandom, and ei are random errors. The family of nonparametric estimates of g() including known estimates proposed by Gasser & Mulle... Consider the regression model, n. Here the design points (xi,ti) are known and nonrandom, and ei are random errors. The family of nonparametric estimates of g() including known estimates proposed by Gasser & Muller[1] is also proposed to be a class of new nearest neighbor estimates of g(). Baed on the nonparametric regression procedures, we investigate a statistic for testing H0:g=0, and obtain some aspoptotic results about estimates. 展开更多
关键词 Partial linear model Parametric test Asmpptotic normality nonperametric regression technique.
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