The Role of Residuals in Optimal and Suboptimal Statistical Modeling

Authors

Paul R. Yarnold, Optimal Data Analysis LLC
Fred B. Bryant, Loyola University ChicagoFollow

Document Type

Article

Publication Date

2015

Publication Title

Optimal Data Analysis

Volume

4

Pages

9-11

Publisher Name

Optimal Data Analysis LLC

Abstract

This note contrasts the importance of the analysis of model residual values in assessing the invalidity of estimated Type I error rates for parametric methods, versus in determining

Identifier

2155-0182

Comments

Author Posting © Optimal Data Analysis LLC, 2015. This article is posted here by permission of Optimal Data Analysis LLC for personal use, not for redistribution. The article was published in Optimal Data Analysis, Volume 4, May 2015, https://odajournal.files.wordpress.com/2019/01/v4a11.pdf

Recommended Citation

Yarnold, Paul R. and Bryant, Fred B.. The Role of Residuals in Optimal and Suboptimal Statistical Modeling. Optimal Data Analysis, 4, : 9-11, 2015. Retrieved from Loyola eCommons, Psychology: Faculty Publications and Other Works,

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

Copyright Statement

© Optimal Data Analysis LLC, 2015.