JSTOR Daily

Diagnostic Plots for Missing Data in Least Squares Regression

The usual approach to handling missing data in a regression is to assume that the points are missing at random (MAR) and use either a fill-in method to replace the missing points or a method using ...
Simon Fraser University

Example 39.4: Logistic Regression Diagnostics

The index plots produced by the IPLOTS option are essentially the same plots as those produced by the INFLUENCE option with a 90-degree rotation and perhaps on a more refined scale. The vertical axis ...
Purdue University

Regression Modeling in Practice

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt ...
JSTOR Daily

Diagnostics in Linear Discriminant Analysis

Some new diagnostic measures in discriminant analysis are proposed. They can be expressed in terms of the two fundamental influence statistics in discriminant analysis: d2 i and ψ̂i. A theorem on the ...
Simon Fraser University

Example 55.4: Displaying Plots for Simple Linear Regression

This example introduces the basic PROC REG graphics syntax used to produce a standard plot of data from the aerobic fitness data set (Example 55.1). A simple linear regression of Oxygen on RunTime is ...
lse

Regression and Generalised Linear Models

This course is compulsory on the BSc in Actuarial Science and BSc in Statistics with Finance. This course is available on the BSc in Business Mathematics and Statistics and BSc in Mathematics with ...