In this paper, we introduce a new type of biased estimate so-called Al estimator to reduce the effect of multicollinearity on the estimators. By some theorems ...
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Oct 22, 2024 · In this paper, we introduce a new type of biased estimate so-called Al estimator to reduce the effect of multicollinearity on the estimators.
Sep 11, 2008 · In this paper, we introduce a new type of biased estimate so-called Al estimator to reduce the effect of multicollinearity on the estimators.
May 1, 2022 · This paper proposes a new two-parameter estimator following a newly developed one-parameter ridge estimator to handle multicollinearity in the ...
Missing: multiple | Show results with:multiple
Dec 4, 2023 · This paper deals with estimators suffers multiple linear regression model that contains heteroscedastics errors and/or correlated and ...
The paper aims to develop a new estimator to handle multicollinearity in the linear regression model. Hence, compare its performance with some existing ...
This new estimator is a general estimator which includes the ordinary least squares (OLS) estimator, the ridge regression (RR) estimator, and the Liu estimator ...
Missing: multiple | Show results with:multiple
This paper introduces a new regression estimator, called the Dawoud–Kibria estimator, as an alternative to the ordinary least squares estimator.
Oct 22, 2024 · The most frequently used estimation technique in the linear regression model is the ordinary least squares (OLS) estimator. The presence of ...
One way to consider these questions is to assess whether the assumptions underlying the multiple linear regression model seem reasonable.