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Statistica Sinica 7(1997), 1155-1169


M-TYPE SMOOTHING SPLINES IN NONPARAMETRIC

AND SEMIPARAMETRIC REGRESSION MODELS


Jiti Gao and Peide Shi


Queensland University of Technology and Beijing University


Abstract: Consider the regression model Yi=g(ti)+ei for i=1,...,n. Here ,and H is a specified class of continuous functions from T to R. Based on a finite series expansion of g, an M-estimate of g is constructed, and the asymptotic normality of the estimate is investigated. Meanwhile, a test statistic for testing H0:g(.)=g0(.) (a known function) is discussed. We also consider M-estimates for semiparametric regression models and show that they are consistent and asymptotically normal.



Key words and phrases: Asymptotic normality, M-estimation, nonparametotic regression model, semiparametric regression model, spline smoothing technique.



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