Influence Analysis in the Lognormal Regression Model with Fitted and Quantile Residuals

Influence Analysis in the Lognormal Regression Model with Fitted and Quantile Residuals

Influence analysis is a critical diagnostic tool in regression modeling to ensure reliable parameter estimates. This study evaluates the effectiveness of diagnostic methods for detecting influential observations in the lognormal regression model using fitted and quantile residuals. We assess Cook’s...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Habib, Muhammad Amin, Sadiah M. A. Aljeddani
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Axioms
Subjects:
influential observation
lognormal regression model
cook’s distance
modified Cook’s distance
covariance ratio
Hadi method
Online Access:https://www.mdpi.com/2075-1680/14/6/464
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.mdpi.com/2075-1680/14/6/464

Similar Items