Skip to main content

All Questions

Filter by
Sorted by
Tagged with
0 votes
1 answer
38 views

Setting boundaries for calculating $P(Y/X>2)$ choosing $dx/dy$ order [duplicate]

Given two independent variables $X$ and $Y$, with marginal pdfs $f_X(x)=2x, 0 \le x \le 1$ and $f_Y(y)=1, 0 \le y \le 1$, calculate $P(\frac{Y}{X} > 2)$. So this can be written as $P(Y>2X)$, ...
Sarina's user avatar
  • 115
3 votes
1 answer
9k views

Finding the joint CDF using the joint PDF; why can't I do this?

Find the joint CDF of the independent random variables $X$ and $Y$, where $f_X(x)=x/2, 0\le x \le 2, $ and $f_Y(y)=2y, 0 \le y \le 1$. To do this, we can find the CDF separately for each of the ...
Sarina's user avatar
  • 115
4 votes
2 answers
360 views

Having difficulty deciding limits of integration for a joint to marginal pdf

A joint pdf, $f_{X,Y}(x,y)=5$, is given with the following intervals: $-1<x<1$ $x^2<y<x^2+{1\over{10}}$ I am trying to find the marginal pdf of $f_Y(y)$ but I am stuck.
Kamuran Karam's user avatar
2 votes
3 answers
793 views

Finding Marginal pmf

I am studying for an exam and have come across this problem: Let the random variables $X$ and $Y$ have the joint pmf: $f_{XY}(x,y)={2\over{n(n+1)}}$ for $y=1, . . . , x$; $x=1, . . . , n$ Find the ...
StatsStudent's user avatar
  • 11.5k
3 votes
1 answer
2k views

Marginal density and conditional density from joint density [duplicate]

I am having trouble understanding how to solve this when the variables are not discrete. Let the simultaneous density of the non-discrete stochastic variables (X,Y) be I am then supposed to find ...
Bob The Builder's user avatar
1 vote
0 answers
926 views

Marginal distribution of a function of order statistics

From the joint distribution of any two order statistics, say $Y_j$ and $Y_k$, $j<k$ I would like to derive the distribution of $Z=F(Y_k)-F(Y_j)$. The initial pdf is: $$f_{Y_j,Y_k} (y_j,y_k) =\...
JohnK's user avatar
  • 21.1k
6 votes
1 answer
391 views

Question about a marginal distribution

If I observe the following: $X \sim N(\mu_x,\sigma^2_x)$ $Y|X=x \sim N(x,\sigma^2_y)$ My objective is to calculate the marginal distribution of $Y$. (Since the variance term does not address some ...
Druss2k's user avatar
  • 1,113