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

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Bonus-Malus Scales 181<br />

= 1 1 1 1 1 1<br />

⎛<br />

2305672 −0678486 −0565648 −0440943 −0303122 −0150806<br />

1305672 0321514 −0565648 −0440943 −0303122 −0150806<br />

×<br />

0400834 0226351 0434352 −0440943 −0303122 −0150806<br />

⎜ −0417897 0140245 0339189 0559057 −0303122 −0150806<br />

⎝ −1158715 0062332 0253083 0463895 0696878 −0150806<br />

−1829035 −0008166 0175170 0377788 0601716 0849194<br />

= 0606531 0063789 0070498 0077913 0086107 0095163.<br />

Coming back to Example 4.7, we see that the matrices P k 01, k ≥ 5, have all their rows<br />

equal to T 01.<br />

⎞<br />

<br />

⎟<br />

⎠<br />

Example 4.10 (−1/+2 scale)<br />

Formula (4.9) gives here<br />

T = 1 1 1 1 1 1<br />

⎛<br />

( )<br />

2 − exp− 1 1− exp− 1 1− 2<br />

exp−exp− 1 + + 2<br />

2 2<br />

1 − exp− 2 1 1− exp− 1 exp−1 + <br />

×<br />

1 1− exp− 2 1 1− exp− exp−1 + <br />

⎜ 1 1 1− exp− 2 1 exp−<br />

⎝ 1 1 1 1− exp− 2 exp−<br />

1 1 1 1 1− exp− 1 + exp−<br />

⎞<br />

−1<br />

<br />

⎟<br />

⎠<br />

Applying this formula in the particular case = 01, we get<br />

T 01 = 1 1 1 1 1 1<br />

⎛<br />

⎞<br />

1095163 1 0909516 1 0995476 0999845<br />

0095163 2 1 0909516 1 0995321<br />

×<br />

1 0095163 2 1 0909516 0995321<br />

⎜ 1 1 0095163 2 1 0904837<br />

⎟<br />

⎝ 1 1 1 0095163 2 0904837 ⎠<br />

1 1 1 1 0095163 1904837<br />

= 1 1 1 1 1 1<br />

−1<br />

⎛<br />

2759072 −0630802 −0512948 −0658608 −0480599 −0309449<br />

1659534 0358730 −0524518 −0561440 −0472165 −0293474<br />

×<br />

0578107 0244995 0454957 −0475982 −0366345 −0269065<br />

⎜−0478699 0133850 0332122 0599117 −0272234 −0147489<br />

⎝−1434937 0033282 0220977 0571906 0812921 −0037482<br />

−2300176 −0057717 0120409 0547285 0794810 1062056<br />

⎞<br />

⎟<br />

⎠<br />

= 0782901 0082338 0090998 0022278 0016387 0005097

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