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- W2388097809 abstract "Consider the regression model:y_i=x_iβ+g(t_i)+σ_ie_i,1≤i≤n,wher σ~2_i=f(u_i),(x_i,t_i,u_i) are known and nonrandom design points,β is an unknown parameter to be estimated,g and f are unknown functions,and the errors ｛e_i｝ are negative quadrant dependent random sequence.Strong consistency for the least squares estimator ,the weighted least squares estimator and the ultimate wighted least squares estimator of β are obtained under some conditions." @default.
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- W2388097809 date "2004-01-01" @default.
- W2388097809 modified "2023-09-22" @default.
- W2388097809 title "Strong consistency of a class of estimates in partial lineal modelfor negatively quadrant dependent samples" @default.
- W2388097809 hasPublicationYear "2004" @default.
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