Loss Distribution | cost per payment $Y = alpha X + (1 - alpha)(X-d)+$, Find CDF , PDF and mean of $Y$











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For an insurance policy loss $𝑋$, we define the cost per payment: $𝑌=𝛼𝑋+(1−𝛼)(𝑋−𝑑)+$, for $𝛼∈(0,1)$ and $𝑑>0$. Compute the cdf, pdf and mean of $𝑌$.










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  • I think you have to mention how X Is distributed.
    – Thomas
    Nov 19 at 17:41










  • Any distribution. But if important we say X~EXP(λ)
    – M.F
    Nov 19 at 18:00










  • So expanding what you write $Y=X-d(1-alpha)$, so the distribution of $Y$ is just the distribution of $X$ shifted but maybe I am not getting your question...
    – Thomas
    Nov 19 at 19:09

















up vote
-1
down vote

favorite












For an insurance policy loss $𝑋$, we define the cost per payment: $𝑌=𝛼𝑋+(1−𝛼)(𝑋−𝑑)+$, for $𝛼∈(0,1)$ and $𝑑>0$. Compute the cdf, pdf and mean of $𝑌$.










share|cite|improve this question
























  • I think you have to mention how X Is distributed.
    – Thomas
    Nov 19 at 17:41










  • Any distribution. But if important we say X~EXP(λ)
    – M.F
    Nov 19 at 18:00










  • So expanding what you write $Y=X-d(1-alpha)$, so the distribution of $Y$ is just the distribution of $X$ shifted but maybe I am not getting your question...
    – Thomas
    Nov 19 at 19:09















up vote
-1
down vote

favorite









up vote
-1
down vote

favorite











For an insurance policy loss $𝑋$, we define the cost per payment: $𝑌=𝛼𝑋+(1−𝛼)(𝑋−𝑑)+$, for $𝛼∈(0,1)$ and $𝑑>0$. Compute the cdf, pdf and mean of $𝑌$.










share|cite|improve this question















For an insurance policy loss $𝑋$, we define the cost per payment: $𝑌=𝛼𝑋+(1−𝛼)(𝑋−𝑑)+$, for $𝛼∈(0,1)$ and $𝑑>0$. Compute the cdf, pdf and mean of $𝑌$.







actuarial-science






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share|cite|improve this question













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edited Nov 19 at 18:04

























asked Nov 19 at 16:41









M.F

11




11












  • I think you have to mention how X Is distributed.
    – Thomas
    Nov 19 at 17:41










  • Any distribution. But if important we say X~EXP(λ)
    – M.F
    Nov 19 at 18:00










  • So expanding what you write $Y=X-d(1-alpha)$, so the distribution of $Y$ is just the distribution of $X$ shifted but maybe I am not getting your question...
    – Thomas
    Nov 19 at 19:09




















  • I think you have to mention how X Is distributed.
    – Thomas
    Nov 19 at 17:41










  • Any distribution. But if important we say X~EXP(λ)
    – M.F
    Nov 19 at 18:00










  • So expanding what you write $Y=X-d(1-alpha)$, so the distribution of $Y$ is just the distribution of $X$ shifted but maybe I am not getting your question...
    – Thomas
    Nov 19 at 19:09


















I think you have to mention how X Is distributed.
– Thomas
Nov 19 at 17:41




I think you have to mention how X Is distributed.
– Thomas
Nov 19 at 17:41












Any distribution. But if important we say X~EXP(λ)
– M.F
Nov 19 at 18:00




Any distribution. But if important we say X~EXP(λ)
– M.F
Nov 19 at 18:00












So expanding what you write $Y=X-d(1-alpha)$, so the distribution of $Y$ is just the distribution of $X$ shifted but maybe I am not getting your question...
– Thomas
Nov 19 at 19:09






So expanding what you write $Y=X-d(1-alpha)$, so the distribution of $Y$ is just the distribution of $X$ shifted but maybe I am not getting your question...
– Thomas
Nov 19 at 19:09

















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