Minimum of two random variable

In summary, the minimum of two random variables is the smallest value that can occur when two or more random variables are combined. It is calculated by taking the smallest value from each random variable and finding the minimum value among those. This is important in statistics as it helps determine the lower bound or worst-case scenario for a given set of data. The minimum of two random variables can be negative if the values of the two random variables are both negative. It is commonly used in risk management and decision-making processes to assess the worst-case scenario and plan accordingly.
  • #1
Dassinia
144
0
Hello, want to know if it's correct
1. Homework Statement

X and Y two random variables iid of common density f and f(x)=x*exp(-x²/2) if x≥0 and f(x)=0 if x≤0
and Z=min(X,Y)
Find
-The density of Z
-The density of Z²
- E[Z²]

Homework Equations

The Attempt at a Solution


1.[/B]
FZ(u) = P(min(X,Y )≤u)
= 1 − P(min(X,Y )>u)
= 1 − P(X>u)*P(Y>u)
= 1 − (1 − F(u))²

And F(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
So FZ(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
The density is then
fZ(u) = u*exp(-u²/2) 0 if u>0 , 0 if u≤0

2. I'm not sure here
u≤0
FZ²(u)=P(Z²≤u)=0
u≥0
Z²≤u , -√u≤Z≤√u
From -√u to 0 , FZ²(u)=0
From 0 to √u , FZ²(u)=FZ(u)=1-exp(-u²/2)

So Z² has the same density as Z ?

Thanks
 
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  • #2
Dassinia said:

The Attempt at a Solution


1.[/B]
FZ(u) = P(min(X,Y )≤u)
= 1 − P(min(X,Y )>u)
= 1 − P(X>u)*P(Y>u)
= 1 − (1 − F(u))²

And F(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
So FZ(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
The density is then
fZ(u) = u*exp(-u²/2) 0 if u>0 , 0 if u≤0
I am not following how you went from F(u) to FZ(u) since FZ(u) = 1-(1-F(u))^2. This would give you 1-exp(-u²).
Then fZ(u) = d/du (FZ(u)) = 2u exp(-u^2).
Dassinia said:
From 0 to √u , FZ²(u)=FZ(u)=1-exp(-u²/2)
You are looking for the probability that Z < sqrt(u), so FZ^2*=(u) = FZ(sqrt(u)) .
 
  • #3
Dassinia said:
Hello, want to know if it's correct

FZ(u) = P(min(X,Y )≤u)
= 1 − P(min(X,Y )>u)
= 1 − P(X>u)*P(Y>u)
= 1 − (1 − F(u))²

And F(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
So FZ(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
The density is then
fZ(u) = u*exp(-u²/2) 0 if u>0 , 0 if u≤0

2. I'm not sure here
u≤0
FZ²(u)=P(Z²≤u)=0
u≥0
Z²≤u , -√u≤Z≤√u
From -√u to 0 , FZ²(u)=0
From 0 to √u , FZ²(u)=FZ(u)=1-exp(-u²/2)

So Z² has the same density as Z ?

Thanks

(i) Standard textbook expression: ##f_Z(z) = 2 f(z) P(X>z)##, and in your case, ##P(X > z) = e^{-z^2/2}##. Your final expression is incorrect.
(ii) Since ##Z \geq 0##, ##P(Z^2 \leq w) = P(Z \leq \sqrt{w})## for all ##w \geq 0##. Get the density of ##W = Z^2## by differentiation of ##P(W \leq w)##.
 

1. What is the definition of a minimum of two random variables?

A minimum of two random variables is the smallest value that can occur when two or more random variables are combined.

2. How is the minimum of two random variables calculated?

The minimum of two random variables is calculated by taking the smallest value from each random variable and finding the minimum value among those.

3. What is the significance of the minimum of two random variables in statistics?

The minimum of two random variables is important in statistics because it helps determine the lower bound or worst-case scenario for a given set of data.

4. Can the minimum of two random variables be negative?

Yes, the minimum of two random variables can be negative if the values of the two random variables are both negative.

5. How is the minimum of two random variables used in real-world applications?

The minimum of two random variables is commonly used in risk management and decision-making processes to assess the worst-case scenario and plan accordingly.

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