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Let $X_1$ and $X_2$ be independent exponential random variables with parameters $λ_1$ and $λ_2$ respectively. What is the probability density of $X_1/X_2$?

I tried to integral form $-\infty$ to $+\infty$ but its seems I cannot work out a results. If it need some other method?

Did
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Ccnoc
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  • Sometimes "exponential with parameter $\alpha$" means $\displaystyle e^{-x/\alpha},\left( \frac{dx}\alpha \right)$ for $x\ge0,$ so that $\alpha$ is the expected value, and sometimes it means $\displaystyle e^{-\alpha x} (\alpha , dx),$, for $x\ge0,$ so that $\alpha$ is the rate and $1/\alpha$ is the expected value. Which of those do you have in mind? $\qquad$ – Michael Hardy Nov 28 '16 at 15:58
  • "I tried to integral form $-\infty$ to $+\infty$ but its seems I cannot work out a results" Excellent! Please show the details of your computations. – Did Nov 28 '16 at 16:02
  • Note that $Y = X_1/X_2 \le y$ is a sector of the first quadrant bounded by the $x_2$-axis and a diagonal line. Integrating the joint density over that sector gives you the value of the cumulative distribution function at $y.\qquad$ – Michael Hardy Nov 28 '16 at 16:02
  • Also note that $\Pr(X_1/X_2 >0) = 1$, so you shouldn't expect negative numbers in the region over which you need to integrate. $\qquad$ – Michael Hardy Nov 28 '16 at 16:03
  • https://math.stackexchange.com/questions/33778/cdf-of-a-ratio-of-exponential-variables – StubbornAtom Dec 03 '18 at 17:50

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