IEEE

Earthquake Magnitude and Depth Prediction Based on Machine Learning and Multiple Linear Regression Models

Abstract: This paper presents a comprehensive exploration of earthquake magnitude and depth prediction using an advanced machine learning model and multiple linear regression model. The study ...
eLife

Using step selection functions to analyse human mobility using telemetry data in infectious disease epidemiology: a case study of leptospirosis

Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.
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 Tanzania

Introduction Mothers’ experiences at birth and respectful maternal care are critical to achieving Sustainable Development Goal number 3 in Tanzania. However, little is known about the differences in ...
Scientific Research Publishing

Neter, J., Wasserman, W. and Kutner, M.H. (1983) Applied Linear Regression Models. Richard D. Irwin.

ABSTRACT: This study explores a comprehensive statistical model for analyzing rental apartment prices per square meter in Munich, Germany. The research investigates key quantitative and qualitative ...
BMJ

Protocol for a prospective observational study linking research domain criteria-based phenotypes with clinical and care-related outcomes in psychiatric patients and healthy ...

5 German Center for Mental Health (DZPG), partner site Berlin/Potsdam, Germany Introduction The Research Domain Criteria (RDoC) approach initiated by the National Institute of Mental Health provides a ...
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 ...