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D.W. Simpson and Company -- Actuary Salary Surveys |
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#11
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I assume the integral in question is something like
Sure you could distribute and integrate the polynomial but it's easier to say Now we need to remember that the limits will change as well, before we went from x = a to x = b, but now u = x - c so now your bounds are from u = a - c to u = b - c so our integral would be |
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#12
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Thanks, this helps actuarialsuck!
I haven't seen calc since I last passed exam 100 in 1999. I'll post the example tomorrow (and in the future too). But it's very similar to what was posted above |
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#13
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In the latest Sam, looking at the solution for quiz 51-1, when solving for a, where does the 1/16 come from? Thanks in advance!
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#14
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Post it?
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#15
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Anyone help with soa 165? I do my deductibles a different way (don't really get their solution anyways)
So I'm using E(s)-E(s^3). E(s) = 2.8 For the second piece, I'm obv calculating expected value of the deductible. The ded pays 3 if there are 3 rolls or more. So I did: 3 * 1-p0-p1-p2. Then for p0=0. P1 = 2e^-2 *1.4 p2 = 2e-2 * 2.8. 2.8 - all that, I'm getting .693. Anyone tell me what I'm doing wrong please? Last edited by Devastator; 10-10-2012 at 11:55 PM.. |
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#17
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It's from the soa 289, problem #165
I'm sorry, that was dumb. I put asm. All this shit is getting to me. |
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#18
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Alright --- to do it your way, we agree that E[S] = 2.8.
The issue with your methodology is that you appear to be only considering losses based on the Poisson distribution, when in reality you need to consider aggregate losses, taking into account Poisson AND individual losses. How would you have 0 aggregate losses? Poisson N=O: e^-2 How would you have 1 aggregate loss? Poisson N=1 AND individual loss 1: (2e^-2)(.6) = 1.2e^-2 How would you have 2 aggregate losses? Poisson N=1 AND one individual loss of 2 OR Poisson N=2 AND two individual losses of 1: (2e^-2)(.4) + (2^2)/2(e^-2)(.6^2) = 1.52e^-2 Now calculate E[S^3] = 0(e^-2) + 1(1.2e^-2) + 2(1.52e^-2) + 3(1-(e^-2)-(1.2e^-2)-(1.52e^-2)) = 2.0634 In closing, E[S] - E[S^3] = 2.8 - 2.0634 = .7365 |
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#19
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That is a great explanation, thank you very much!
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#20
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Quote:
s! Although I never thought about it that way - calculating all the u's and dv's you'll need first and then just do the calculating part in one step. So thanks!
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