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OLS Field Name OLS Field Data
Main Title Efficiency of Least Squares Estimators in the Presence of Spatial Autocorrelation.
Author Cordy, C. B. ; Griffith, D. A. ;
CORP Author Oregon State Univ., Corvallis. Dept. of Statistics. ;Syracuse Univ., NY.;Corvallis Environmental Research Lab., OR.
Publisher c1993
Year Published 1993
Report Number EPA/600/J-94/098;
Stock Number PB94-146370
Additional Subjects Least squares method ; Statistical inference ; Numerical solution ; Variance(Statistics) ; Autocorrelation ; Efficiency ; Reprints ; Parameter estimation ; EMAP program
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NTIS  PB94-146370 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 05/14/1994
Collation 13p
Abstract The authors consider the effect of spatial autocorrelation on inferences made using ordinary least squares estimation. It is found, in some cases, that ordinary least squares estimators provide a reasonable alternative to the estimated generalized least squares estimators recommended in the spatial statistics literature. One of the most serious problems in using ordinary least squares is that the usual variance estimators are severely biased when the errors are correlated. An alternative variance estimator that adjusts for any observed correlation is proposed. The need to take autocorrelation into account in variance estimation negates much of the advantage that ordinary least squares estimation has in terms of computation simplicity. (Copyright (c) 1993 by Marcel Dekker, Inc.)
Supplementary Notes Pub. in Communications in Statistics 22, n4 p1161-1179 1993. Prepared in cooperation with Syracuse Univ., NY. Sponsored by Corvallis Environmental Research Lab., OR.
NTIS Title Notes Journal article.
Title Annotations Reprint: Efficiency of Least Squares Estimators in the Presence of Spatial Autocorrelation.
Category Codes 72F
NTIS Prices PC A03/MF A01
Primary Description 600/02
Document Type NT
Cataloging Source NTIS/MT
Control Number 410527504
Origin NTIS
Type CAT