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                                       Details for article 5 of 7 found articles
 
 
  Small-sample behavior of weighted least squares in experimental design applications
 
 
Title: Small-sample behavior of weighted least squares in experimental design applications
Author: Kleijnen, Jack
Appeared in: Communications in statistics
Paging: Volume 10 (1981) nr. 3 pages 303-313
Year: 1981
Contents: In experimental design applications unbiased estimators si2 of the variances σi2 are possible. These estimators may be used in Weighted Least Squares (WLS) when estimating the parameters β. The resulting small-sample behavior is investigated in a Monte Carlo experiment. This experiment shows that an asymptotically valid covariance formula can be used if si2 is based on, say, at least 5 observations. The WLS estimator based on estimators si2 gives more accurate estimators of β, provided the σi2 differ by a factor, say, 10.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 7 found articles
 
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