BMJ Global Health

The use of Childbirth Experience Questionnaire (CEQ) and Birth Satisfaction Scale-Revised (BSS-R) in comparing the experiences of mothers with and without HIV in T…

Introduction Mothers’ experiences at birth and respectful maternal care are critical to achieving Sustainable Development ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Visual Studio Magazine

Linear Regression with Two-Way Interactions Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...
Scientific Research Publishing

Prediction Model for Minimum Subsistence Allowance Standard Based on Principal Component Analysis-Based Multiple Linear Regression (PMLR) ()

Amid the wave of the digital age, advanced technologies such as big data, artificial intelligence, and cloud computing are driving precise analysis and forecasting across various fields. This paper ...
GitHub

Multiple Linear Regression in Statsmodels

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...
IEEE

Photovoltaic Energy Production Modeling Using Linear Regression Models in MS Excel

Abstract: Photovoltaic Energy Production is a basic element of current energy systems. The transition to decentralized energy production which characterizes fast dynamics in the change of electricity ...
C&EN

Application of Multiple Linear Regression Models in Deriving Water Quality Criteria for Lead: Comparison of Metal Bioavailability Estimation Approaches

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China ...
Frontiers

Bayesian regression modeling and inference of energy efficiency data: the effect of collinearity and sensitivity analysis

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...