JSTOR Daily

Prediction Method of Manganese Tuberculosis Resources Content in Deep Seafloor Based on Multiple Regression

In order to improve the prediction accuracy of deep seafloor manganese nodule resource content, a prediction method of deep seafloor manganese nodule resource content based on multiple regression ...
JSTOR Daily

On the Robustness of Shrinkage Predictors in Regression to Differences between Past and Future Data

Copas (1983) investigates the shrinkage associated with prediction in the usual linear multiple regression model and proposes using Stein-type predictors which anticipate this shrinkage. Assuming that ...
ascopubs.org

Simple Linear Cancer Risk Prediction Models With Novel Features Outperform Complex Approaches

Methodological Comparison of Mapping the Expanded Prostate Cancer Index Composite to EuroQoL-5D-3L Using Cross-Sectional and Longitudinal Data: Secondary Analysis of NRG/RTOG 0415 The ability to ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate correlation coefficient. If you look at the multiple regression we did, ...