07350015%2E2012%2E643126
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Keywords and Phrases: Econometrics, regression model, regressand, re- gressors, linear model, ordinary least squares, OLS estimator, measure of the information, Fisher’s
The properties of the proposed estimator is discussed and the performance over the generalized least squares (GLS) estimator, ordinary ridge regression (ORR) estimator (Trenkler [
If model ( 13 ) was estimated by OLS rather than WLS regression on the pooled data of periods 0 and t , then in the matched- items case the time dummy index would equal the
The properties of the proposed estimator is discussed and the performance over the generalized least squares (GLS) estimator, ordinary ridge regression (ORR) estimator (Trenkler [
Ordinary least squares (OLS) regression results indicate that physics teachers are the most prepared to teach engineering design and that science teachers are significantly
Abstract The hedonic price method was used to estimate the influence of parks on the rental prices of single-room dwellings in Setagaya Ward, Tokyo, Japan.. A simple least
We theoretically compared the proposed DBR estimator with some existing estimators, for examples, the ordinary least squares OLS, the ordinary ridge regression ORR, the Liu, the
Ordinary least squares OLS regression and quantile regression method were used to investigate the relationship between the editorial board representation and the quantity and impact of
