Model training methods include Ordinary Least Squares
and Linear Ordinary Least Squares
with an Inequality Constraint and Newton Interior-Point Algorithm.
Ordinary least square
(OLS) technique has been applied to get estimated parameters.
Ordinary least squares
regressions using clustered standard errors to control for repeated observations from the same state were used to estimate the coefficients of the Reform variable.
We used the Ordered Probit method; as a robustness check, we also utilized Ordinary Least Squares
and the Propensity Score Matching method.
Equations 10 and 11 were estimated by ordinary least squares
on the panel data set of all Texas school districts, with the results reported in Table 7.
Traditional hedonic modelling techniques, especially the ordinary least squares
technique, are sensitive to outlying observations; even a single outlier can drastically change the results and misguide the inferences.
The ordinary least squares
regression models that are usually the beginning (and too often the end) of coursework in multivariate models are not appropriate for every situation.
In previous work, as in Boivin (2006), ordinary least squares
have been employed to estimate the Taylor rule that uses the Greenbook forecasts.
Key words: Ordinary least squares
estimator, best linear unbiased estimator, orthogonal projections.
What can one say about cross-country foreign direct investment (FDI) using panel data and ordinary least squares
The estimates of meal share and exercise are calculated using ordinary least squares
In an ordinary least squares
regression analysis that controlled only for demographic characteristics, the higher the sexual media diet score, the more precoital behaviors black teenagers reported at follow-up.