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Actuarial Modelling of Claim Counts Risk Classification, Credibility ...

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78 <strong>Actuarial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>Claim</strong> <strong>Counts</strong><br />

5<br />

Individual data<br />

4<br />

Deviance residuals<br />

3<br />

2<br />

1<br />

0<br />

–1<br />

0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35<br />

Predicted value<br />

1<br />

Grouped data<br />

0<br />

Deviance residuals<br />

–1<br />

–2<br />

–3<br />

–4<br />

0 100 200 300<br />

Predicted value<br />

Figure 2.8 Deviance residuals against fitted annual claim frequencies for individual data (top panel)<br />

and grouped by risk classes (bottom panel), Portfolio A.<br />

The significance <strong>of</strong> the explanatory variables is clearly apparent (even if the Chi-square<br />

test statistics are smaller than in the regular Poisson case, and the corresponding p-values<br />

larger).

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