Revision as of 15:00, 7 May 2023 by Admin (Created page with "A company offers earthquake insurance. Annual premiums are modeled by an exponential random variable with mean 2. Annual claims are modeled by an exponential random variable w...")
ABy Admin
May 07'23
Exercise
A company offers earthquake insurance. Annual premiums are modeled by an exponential random variable with mean 2. Annual claims are modeled by an exponential random variable with mean 1. Premiums and claims are independent. Let [math]X[/math] denote the ratio of claims to premiums, and let [math]f[/math] be the density function of [math]X[/math].
Determine [math]f(x)[/math], where it is positive.
- [math]\frac{1}{2x+1}[/math]
- [math]\frac{2}{(2x+1)^2}[/math]
- [math]e^{-x}[/math]
- [math]2e^{-2x}[/math]
- [math]xe^{-x}[/math]
ABy Admin
May 07'23
Solution: B
Let
- [math]u[/math] be the annual claims
- [math]v[/math] be the annual premiums
- [math]f(x)[/math] be the density function of [math]X[/math]
- [math]F(x)[/math] be the distribution function of [math]X[/math]
Then since [math]U[/math] and [math]V[/math] are independent
[[math]]
g(u,v) = (e^{-u})(\frac{1}{2}e^{-v/2}) = \frac{1}{2}e^{-u}e^{-v/2}, \, 0 \lt u \lt \infty, \, 0 \lt v \lt \infty
[[/math]]
and
[[math]]
\begin{align*}
F(x) = P[X \leq x] = P[ \frac{u}{v} \leq x ] &= P[ U \leq Vx] \\
&= \int_0^{\infty}\int_0^{vx} g(u,v) du dv = \int_0^{\infty}\int_0^{vx} \frac{1}{2} e^{-u}e^{-v/2} du dv \\
&= \int_0^{\infty} -\frac{1}{2} e^{-u}e^{-v/2} \Big |_0^{vx} dv = \int_0^{\infty} \left( -\frac{1}{2} e^{-vx} e^{-v/2} + \frac{1}{2} e^{-v/2}\right) dv \\
&= \int_0^{\infty} \left( -\frac{1}{2} e^{-v(x+1/2)} + \frac{1}{2} e^{-v/2} \right )dv \\
&= \left [ \frac{1}{2x+1} e^{-v(x + 1/2)} - e^{-v/2} \right ]_0^{\infty} \\
&= -\frac{1}{2x+1} + 1
\end{align*}
[[/math]]
Finally ,
[[math]]
f(x) = F^{'}(x) = \frac{2}{(2x+1)^2}.
[[/math]]