Application of multiple linear regression analysis in assessing zonings of debris flows in Chedarengou River;

The application of multiple linear regression analysis in economic forest product demand forecast

According to the orientation investigation data in the field and the corresponding RS and GIS information,by means of principal components analysis,common factor analysis and multiple linear regression analysis,the vegetation coverage and biomass estimation models were set up.

Multiple linear regression analysis of association of the Plasmodium falciparum density with fevers and age of malaria cases in mobile population in high malaria endemic areas in Yunnan Province;

Methods A dataset composed of 190 diversified compounds,was studied by principal component analysis and multivariate linear regression analysis methods.

This paper puts forward a model for assessment of geological hazards by means of multivariate linear regression analysis with 11 assessment factors such as lithologic character,slope,relative difference of elevation,structural density,mean annual rainfall,freeze thawing,earthquake intensity,vegetation cover rate,excavation depth,hazard density and scale,and provides a map showing.

After orthogonal experiments were designed and numerical simulation,single factor range analysis and multivariate linear regression analysis of the numerical simulation results were shown.