Bounds for the efficiency of ordinary least squares estimator relative to generalized least squares estimator in the linear regression model with first-order spatial error process are given. SINET: Ethiopian Journal of Science Vol. 24, No. 1 (June 2001), pp. 17-33 Key words/phrases: Efficiency, generalized least squares, ordinary least squares, spatial error process, spatial correlatio
TEZ9412Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2013.Kaynakça (s. 109-110) var.viii, 120...
We develop refined inference for spatial regression models with predetermined regressors. The ordin...
The ordinary least squares (OLS) estimates in the regression model are efficient when the disturbanc...
Bounds for the fficiency of ordinary least squares relative to generalized least squares estimator i...
ABSTRACT: Conditions for the consistency of the estimator S 2 of the variance of the disturbance 1 u...
Necessary and sufficient conditions for the equality of ordinary least squares and generalized least...
Previous results have indicated that the OLS estimator of the vector of regression coefficients can ...
A proof is given of an inequality for the minimum efficiency of least squares estimation in regressi...
It is well known that the ordinary least squares (OLS) estimates in the regression model are efficie...
For seemingly unrelated regression (SUR) models with integrated regressors, two sufficient condition...
AbstractThis paper investigates the efficiencies of several generalized least squares estimators (GL...
Abstract. This document show how different type of regression models can be solved with GAMS. 1. Lin...
In this note, based on the generalized method of moments (GMM) interpretation of the usual ordinary ...
<p>Determinants of availability: OLS and spatial error estimations (N = 341).</p
A recently developed spatial analytical tool, Geographically Weighted Regression (GWR) was used to d...
TEZ9412Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2013.Kaynakça (s. 109-110) var.viii, 120...
We develop refined inference for spatial regression models with predetermined regressors. The ordin...
The ordinary least squares (OLS) estimates in the regression model are efficient when the disturbanc...
Bounds for the fficiency of ordinary least squares relative to generalized least squares estimator i...
ABSTRACT: Conditions for the consistency of the estimator S 2 of the variance of the disturbance 1 u...
Necessary and sufficient conditions for the equality of ordinary least squares and generalized least...
Previous results have indicated that the OLS estimator of the vector of regression coefficients can ...
A proof is given of an inequality for the minimum efficiency of least squares estimation in regressi...
It is well known that the ordinary least squares (OLS) estimates in the regression model are efficie...
For seemingly unrelated regression (SUR) models with integrated regressors, two sufficient condition...
AbstractThis paper investigates the efficiencies of several generalized least squares estimators (GL...
Abstract. This document show how different type of regression models can be solved with GAMS. 1. Lin...
In this note, based on the generalized method of moments (GMM) interpretation of the usual ordinary ...
<p>Determinants of availability: OLS and spatial error estimations (N = 341).</p
A recently developed spatial analytical tool, Geographically Weighted Regression (GWR) was used to d...
TEZ9412Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2013.Kaynakça (s. 109-110) var.viii, 120...
We develop refined inference for spatial regression models with predetermined regressors. The ordin...
The ordinary least squares (OLS) estimates in the regression model are efficient when the disturbanc...