A graphical diagnostic for variance functions. (English) Zbl 1136.62050
Summary: This paper proposes diagnostic plots for regression variance functions. It shows how to extend graphical methodology that uses Bayesian sampling for checking the regression mean function to also check the variance function. Plots can be constructed quickly and easily for any model of interest. These plots help to identify model weaknesses and can suggest ways to make improvements. The proposed methodology is illustrated with two examples: a simple linear regression model to fix ideas, and a more complex study involving count data to demonstrate the potential for wide application.
MSC:
62J20 | Diagnostics, and linear inference and regression |
62F15 | Bayesian inference |
62A09 | Graphical methods in statistics |
62P99 | Applications of statistics |
Keywords:
diagnostic plot; marginal model plot; model criticism; posterior predictive distribution; chemical experiments; catalysts; wine demandReferences:
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