Access the full text.
Sign up today, get DeepDyve free for 14 days.
K.C. Li (1984)
Regression Models with Infinitely Many Parameters: Consistency of Bounded Linear FunctionalsAnn. Statist., 12
M. Loeve (1968)
Probability Theory
W.F. Stout (1974)
Almost Sure Convergence
Mingzhong Jin, Xiru Chen (1992)
Existence Problem of Consistent Estimates of Linear Regression Coefficients When the Error Variances are UnequalSystems Science & Mathematical Science, 5
W. Feller (1964)
An Introduction of Probability and Its Applications
B. Jamison (1965)
Convergence of Weighted Averages of Independent Random VariablesZ. Wahrscheinlichkeitstheorie und Verw. Gebiete, 4
Consider the model (1.6), whereE ij (j=1, ...,N i,i=1,2,...) are i.i.d. with mean 0 and variance 1. Introduce a randomly weighted estimateβ n defined by (1.8). Assuminge 11 ∼N(0, 1) andN i ≥ 6, the paper gives a necessary and sufficient condition forβ n to be a consistent estimate ofβ 0, and under some further restrictions a normal approximation foβ n is established which can be used in constructing a large sample confidence interval ofβ 0. Finally, in the non-normal case a theorem about the consistency ofβ n is proved.
Acta Mathematicae Applicatae Sinica – Springer Journals
Published: Jul 13, 2005
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.