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

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

Negative Binomial<br />

credibility model 131–5, 144, 148, 151–2<br />

distribution 28–31, 45–6, 281, 284, 336<br />

regression 83–6, 105–6, 238<br />

Offset 73, 101<br />

Optimal retention 220–1, 247–9, 251–4, 257–8<br />

Panjer algorithm 279–84, 287, 330–2<br />

Perron-Froebenius theorem 175<br />

Poisson<br />

distribution 15–17, 45–6, 54–6, 172–3,<br />

229–30, 281, 283<br />

process 17–21<br />

regression 64–79, 94–101, 229–30, 237–8<br />

Poisson-Inverse Gaussian<br />

distribution 32–3, 45–6<br />

regression 86–7, 106–7<br />

Poisson-LogNormal<br />

distribution 34, 45–6<br />

regression 87–8, 107–8<br />

Regularity 175, 176, 179, 273<br />

Score test 43, 82–3<br />

Special bonus rule 200–8<br />

Specification error 72–3, 80<br />

Total variation distance 183–4, 208–13, 295–6,<br />

308, 315<br />

Vuong test 43–4, 46, 89, 109–10<br />

Wald<br />

confidence interval 69<br />

test 42–3

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