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Frey
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ILet, \begin{equation} g(\alpha,\beta) = \begin{cases} \frac{\alpha}{\beta}, & \text{if } \alpha > \beta \\ 0, & \text{if } \alpha \leq \beta \end{cases} \end{equation} I want to find the CDF of $Z=\max\left(\frac{X}{Y},\frac{X}{C}\right)$$$Z=\max\left\{g(X,Y),g(X,C)\right\}$$ where $\frac{X}{Y} =0 $ when $X\le Y$; and $\frac{X}{C}=0$ when $X\le C$.

Therefore, $X> Y$ and $X> C$ conditions are seperately applied for the first and second terms, respectively. Here, $X,Y\geq0$ are independent random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ seperately to the analysis.

Can someone help me write the CDF of $Z$the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

I want to find the CDF of $Z=\max\left(\frac{X}{Y},\frac{X}{C}\right)$ where $\frac{X}{Y} =0 $ when $X\le Y$; and $\frac{X}{C}=0$ when $X\le C$.

Therefore, $X> Y$ and $X> C$ conditions are seperately applied for the first and second terms, respectively. Here, $X,Y\geq0$ are independent random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ seperately to the analysis.

Can someone help me write the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

Let, \begin{equation} g(\alpha,\beta) = \begin{cases} \frac{\alpha}{\beta}, & \text{if } \alpha > \beta \\ 0, & \text{if } \alpha \leq \beta \end{cases} \end{equation} I want to find the CDF of $$Z=\max\left\{g(X,Y),g(X,C)\right\}$$ where$X,Y\geq0$ are independent random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ seperately to the analysis.

Can someone help me write the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

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Frey
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I want to find the CDF of $Z=\max\left(\frac{X}{Y},\frac{X}{C}\right)$ where $\frac{X}{Y} =0 $ when $X>Y$$X\le Y$; and $X>C$$\frac{X}{C}=0$ when $X\le C$.

Therefore, $X> Y$ and $X> C$ conditions are seperately applied for the first and second terms, respectively. Here, $X,Y\geq0$ are independent random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ seperately to the analysis.

Can someone help me write the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

I want to find the CDF of $Z=\max\left(\frac{X}{Y},\frac{X}{C}\right)$ when $X>Y$ and $X>C$. Here, $X,Y\geq0$ are independent random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ to the analysis.

Can someone help me write the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

I want to find the CDF of $Z=\max\left(\frac{X}{Y},\frac{X}{C}\right)$ where $\frac{X}{Y} =0 $ when $X\le Y$; and $\frac{X}{C}=0$ when $X\le C$.

Therefore, $X> Y$ and $X> C$ conditions are seperately applied for the first and second terms, respectively. Here, $X,Y\geq0$ are independent random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ seperately to the analysis.

Can someone help me write the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

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Frey
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  • 2
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I want to find the CDF of $Z=\max\left(\frac{X}{Y},\frac{X}{C}\right)$ when $X>Y$ and $X>C$. Here, $X,Y\geq0$ are independent random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ to the analysis.

Can someone help me write the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

I want to find the CDF of $Z=\max\left(\frac{X}{Y},\frac{X}{C}\right)$ when $X>Y$ and $X>C$. Here, $X,Y\geq0$ are random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ to the analysis.

Can someone help me write the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

I want to find the CDF of $Z=\max\left(\frac{X}{Y},\frac{X}{C}\right)$ when $X>Y$ and $X>C$. Here, $X,Y\geq0$ are independent random variables, and $C>0$ is a constant.

I am facing two difficulties:

  1. I could get the product of CDFs within $\max$ if two were independent. However, as they have $X$ in common, dependency is created. Therefore, I tried to condition on $X$ first and solve. However, in that case, $\frac{X}{C}$ becomes a constant, which is confusing me.
  2. I have more complications in applying the conditions of $X>Y$ and $X>C$ to the analysis.

Can someone help me write the CDF of $Z$ in terms of the PDFs/CDFs of $X$ and $Y$?

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Frey
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