Xiong Pan
Abstract
For semiparametric regression model y i=x iβ+g(t i)+e i, i=1,2,…,n , we use the least squares and wavelet smoothing methods to define the estimations and (t) for β and g(t) , and obtain its r th mean consistency under NA error sequences.
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For semiparametric regression model y i=x iβ+g(t i)+e i, i=1,2,…,n , we use the least squares and wavelet smoothing methods to define the estimations and (t) for β and g(t) , and obtain its r th mean consistency under NA error sequences.
Key concepts: Semiparametric regression, Consistency (knowledge bases), Mathematics, Semiparametric model, Regression, Statistics, Regression analysis, Linear regression