The Best Subset Regression for Single Prediction and Its Application
Di Yao
Abstract
Di Yao
Abstract
Two calculation schemes,backward algorithm screening prediction and double chest stepwise screening for algorithm of introduction and rejection prediction,were designed and applied using the method of best subset regression for single prediction.The study shows that the method has advantages over other stepwise regression analyses.The method was used to analyze the rainfall data of Xinanjiang River drainage basin during the rainy season (April to September).The results indicate that the method has some predictive ability.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Two calculation schemes,backward algorithm screening prediction and double chest stepwise screening for algorithm of introduction and rejection prediction,were designed and applied using the method of best subset regression for single prediction.The study shows that the method has advantages over other stepwise regression analyses.The method was used to analyze the rainfall data of Xinanjiang River drainage basin during the rainy season (April to September).The results indicate that the method has some predictive ability.
Key concepts: Stepwise regression, Regression, Regression analysis, Statistics, Linear regression, Computer science, Mathematics, Algorithm