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#1
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question...
A claim severity distribution is exponential with mean 1000. An insurance company will pay the amount of each claim in excess of a deductible of 100. Calculate the variance of the amount paid by the insurance company for one claim, including the possibility that the amount paid is 0. ________________ Ok I get that E[y] = 1000*pr(x>100). I dont get why E[y^2] = 1000^2 * 2 * pr(x>100) where's the 2 coming from? something i should know i'm sure.... |
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#2
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Quote:
__________________
Everyone deserves a bit of luck! |
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#3
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wesimel -- This problem is best attempted using the double expectation theorem for two variables. There should be no integrating, much less integration by parts. Let X be exp(theta = 1000) and I be Bernoulli with p = .9048 (this is the prob that X>100). Now, from Course 1
var = E[var(X|I)] + var[E(X|I)], where for the Bernoulli, n=1, p=.9048, q=.0952. Off you go. |
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#4
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It's a compound distribution with the chance of a claim over 100 being Bernoulli as described above by the previous poster. Due to the memoryless property of the Exponential, claims over 100 are also Exponential with theta = 1000. So Bernoulli is the primary distribution and Exponential with theta=1000 is the secondary distribution.
Variance = Mean(primary)*Var(secondary) + (Mean(secondary))^2 * Var(primary) Last edited by Brutè; 04-21-2005 at 04:44 PM.. |
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#5
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Quote:
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On the way to FSA |
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