A Graphical Tool For Assessing The Suitabilty Of A Count Regression Model

Authors

Abstract

Whilst many numeric methods, such as AIC and deviance, exist for assessing or comparing model fit, diagrammatic methods are few. We present here a diagnostic plot, which we refer to as a `Quantile Band plot', that may be used to visually assess the suitability of a given count data model. In the case of diagnosed model inadequacy, the plot has the unique feature of conveying precise information on the character of the violation, hence pointing the data analyst towards a potentially better model choice.

Author Biographies

Paul Wilson, University of Wolverhampton

Senior Lecturer in Statistics

Faculty: Faculty of Science and Engineering

School/Institute: School of Mathematics and Computer Science

Areas of expertise:
Statistical modelling, especially of count data, with particular emphasis on zero-inflated data.

Jochen Einbeck, Durham University

Associate Professor (Reader) in Statistics

How to Cite

Wilson, P., & Einbeck, J. A Graphical Tool For Assessing The Suitabilty Of A Count Regression Model. Austrian Journal of Statistics, 50(1), 1-23. Retrieved from https://ajs.or.at/index.php/ajs/article/view/921