Multicollinearity ... Estimation Techniques in Linear Regression Models Publication Trend The graph below shows the total number of publications each year in Estimation Techniques in Linear ...

There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable in the ...

ABSTRACT: In order to solve the problem of chronic heart failure risk prediction in the elderly, a logistic regression modeling framework ... the initial feature set was multicollinearity screened ...

Abstract: In order to construct a high-quality graph to improve the learning accuracy, a new semi-supervised regression algorithm is proposed. According to all labeled and unlabeled samples, multiple ...

Numerical experiments on three public datasets show that the anchor graph regularized deep ridge regression outperforms the traditional ridge regression and even surpasses the deep learning method on ...