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

Authors

DOI:

https://doi.org/10.17713/ajs.v50i1.921

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

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Published

2021-02-03

How to Cite

A Graphical Tool For Assessing The Suitabilty Of A Count Regression Model. (2021). Austrian Journal of Statistics, 50(1), 1-23. https://doi.org/10.17713/ajs.v50i1.921