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

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

Number <strong>of</strong> policyholders<br />

50000<br />

40000<br />

30000<br />

20000<br />

10000<br />

0<br />

0.19 0.184<br />

0.180<br />

0.18<br />

0.17<br />

40770<br />

0.16<br />

0.15<br />

0.14<br />

0.13<br />

0.12<br />

0.11<br />

0.10<br />

0.09<br />

0.08<br />

0.07<br />

0.06<br />

0.05<br />

0.04<br />

0.03<br />

4580<br />

0.02<br />

0.01<br />

0.00<br />

Other Red Other Red<br />

Colour <strong>of</strong> car<br />

Colour <strong>of</strong> car<br />

Annual claims frequency<br />

Figure 2.15 Composition <strong>of</strong> Portfolio B with respect to Colour <strong>of</strong> the car (left panel) and observed<br />

annual claim frequencies according to Colour <strong>of</strong> the car (right panel).<br />

Table 2.8 Results <strong>of</strong> the Poisson regression for the model with 5 variables and serial independence,<br />

Portfolio B.<br />

Variable Level Coeff Std error Wald 95 % conf limit Chi-sq Pr>Chi-sq<br />

Intercept −19242 00302 −19833 −18650 406354

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