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

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Transient Maximum Accuracy Criterion 309<br />

Cn<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0.0<br />

0 1 2 3 4 5<br />

Age <strong>of</strong> policy<br />

Figure 8.2 Convergence <strong>of</strong> the transient policyholders’ distributions to the steady state distribution<br />

for the system −1/top.<br />

distribution <strong>of</strong> the policyholders inside the scale. This comes from the fact that the transient<br />

distributions do not depend on the initial distribution for the −1/top scale.<br />

This somewhat surprising situation can be explained as follows. The distribution <strong>of</strong> the<br />

policyholders in the −1/top scale after one year is given by<br />

⎛<br />

⎜<br />

⎝<br />

p 1<br />

0 <br />

⎞<br />

p 1<br />

1 <br />

p 1<br />

2 <br />

p 1<br />

3 <br />

p 1<br />

4 <br />

⎟<br />

⎠<br />

p 1<br />

5 <br />

⎛<br />

=<br />

⎜<br />

⎝<br />

p 0<br />

0<br />

p 0<br />

1<br />

p 0<br />

2<br />

p 0<br />

3<br />

p 0<br />

4<br />

p 0<br />

5<br />

⎞T ⎛<br />

⎞<br />

exp− 0 0 0 0 1− exp−<br />

exp− 0 0 0 0 1− exp−<br />

0 exp− 0 0 0 1− exp−<br />

0 0 exp− 0 0 1− exp−<br />

⎟ ⎜<br />

⎠ ⎝ 0 0 0 exp− 0 1− exp−⎟<br />

⎠<br />

0 0 0 0 exp− 1 − exp−<br />

⎛<br />

=<br />

⎜<br />

⎝<br />

p 0<br />

0 + p 0<br />

1 exp− ⎞<br />

⎟<br />

⎠<br />

p 0<br />

2 exp−<br />

p 0<br />

3 exp−<br />

p 0<br />

4 exp−<br />

p 0<br />

5<br />

exp−<br />

1 − exp−

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