Simon Fraser University

Lesson 10 Multiple Linear Regression

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...
Simon Fraser University

Lesson 10 Multiple Linear Regression

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...
JSTOR Daily

Use of Dummy Variables in Regression Equations

The use of dummy variables requires the imposition of additional constraints on the parameters of regression equations if determinate estimates are to be obtained. Among the possible constraints the ...
IEEE

An anomaly detection method for individual service on web-based system by selection of dummy variables in multiple regression

Abstract: This paper addresses detecting anomalies of individual services from their total resource usage on web-based system. Because the total resource usage is a linear combination of the number of ...
IEEE

Adaboost with dummy-variable modeling for reduction of false positives in detection of clustered microcalcifications

Abstract: Linear structures are a major contributor to false-positives (FPs) in detection of clustered microcalcifications (MCs) in mammograms. We propose a unified classifier approach to incorporate ...