Add to ORKGPublication selection (PS) exists when editors, referees, or researchers have a preference for stati...
Following a recently introduced approach to statistical selection, new results are presented on subs...
The selection of a descriptor, X, is crucial for improving the interpretation and prediction accurac...
Subset polynomial regression is more flexible than full polynomial regression for modelling data
RETRACTEDFollowing a rigorous, carefully concerns and considered review of the article published in ...
The subset polynomial regression model is wider than the polynomial regression model. This study pro...
Piecewise polynomial regression model is very flexible model for modeling the data. If the piecewise...
The approach of subset selection in polynomial regression model building assumes that the chosen fix...
The approach of subset selection in polynomial regression model building assumes that the chosen fix...
Stepwise regression methods are widely recognized as undesirable for explanatory purposes. As explor...
Publication selection bias is a serious challenge to the integrity of all empirical sciences. We der...
The polynomial regression (PR) technique is used to estimate the parameters of the dependent variabl...
THIS PAPER HAS BEEN RETRACTED The University of California, Merced campus, recently completed a form...
Originally published in 1990, the first edition of Subset Selection in Regression filled a significa...
A hybrid filter/wrapper feature subset selection algorithm for regression is proposed. First, featur...
Publication selection (PS) exists when editors, referees, or researchers have a preference for stati...
Following a recently introduced approach to statistical selection, new results are presented on subs...
The selection of a descriptor, X, is crucial for improving the interpretation and prediction accurac...
Subset polynomial regression is more flexible than full polynomial regression for modelling data
RETRACTEDFollowing a rigorous, carefully concerns and considered review of the article published in ...
The subset polynomial regression model is wider than the polynomial regression model. This study pro...
Piecewise polynomial regression model is very flexible model for modeling the data. If the piecewise...
The approach of subset selection in polynomial regression model building assumes that the chosen fix...
The approach of subset selection in polynomial regression model building assumes that the chosen fix...
Stepwise regression methods are widely recognized as undesirable for explanatory purposes. As explor...
Publication selection bias is a serious challenge to the integrity of all empirical sciences. We der...
The polynomial regression (PR) technique is used to estimate the parameters of the dependent variabl...
THIS PAPER HAS BEEN RETRACTED The University of California, Merced campus, recently completed a form...
Originally published in 1990, the first edition of Subset Selection in Regression filled a significa...
A hybrid filter/wrapper feature subset selection algorithm for regression is proposed. First, featur...
Publication selection (PS) exists when editors, referees, or researchers have a preference for stati...
Following a recently introduced approach to statistical selection, new results are presented on subs...
The selection of a descriptor, X, is crucial for improving the interpretation and prediction accurac...