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In this paper we characterize and construct efficient estimates of the regression parameter [beta] in the semiparametric additive regression model Yj = [beta]TUj+[gamma](Vj), J=1,2 ..., where [beta] is an unknown vector in Rm, [gamma] is an unknown Lipschitz-continuous function from [0, 1] to R,...
Persistent link: https://www.econbiz.de/10008874453