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- W2353288434 abstract "In a general linear model Y_j=x_iβ+e_j,j=1,2,…,n,…, onc can calculate the LSE δ_n~2 of the error variance σ~2 based on the first n observations Y_1,…,Y_n. Denote the distribution functions of(δ_n~2-σ~2)/(?) and N(0,1) by F_n and Φ, respectively. In this paper, itis shown that there exists a positive constant C such that |F_n(x)-Φ(x)|≤C/[n~(1/2)(1+|x|)~3] for all n and x, if the ej are independent and there exist constants D_1, D_2, such that (?)This result gives a positive and sharp answer to the conjecture of Profs. Zhao and Chen, and has been shown to be unable to improve." @default.
- W2353288434 created "2016-06-24" @default.
- W2353288434 creator A5031068756 @default.
- W2353288434 date "1985-01-01" @default.
- W2353288434 modified "2023-09-27" @default.
- W2353288434 title "NON-UNIFORM BOUNDS FOR NORMAL APPROXIMATION OF ERROR VARIANCE ESTIMATES IN LINEAR MODELS" @default.
- W2353288434 hasPublicationYear "1985" @default.
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