Find marginal pdf given joint pdf (stats)

In summary, the task was to find the marginal pdf fx(x) given a joint pdf. The solution involved finding the y-integral and using information about the magnitude of the constants to complete the calculation.
  • #1
Phox
37
0

Homework Statement



Given joint pdf:

f(x,y) = (2/(x2(x-1)))(y-(2x-1)/(x-1)) x>1, y>1

find marginal pdf fx(x)

Homework Equations



fx(x) = ∫f(x,y)dy, 0, ∞

The Attempt at a Solution



fx(x) = ∫(2/(x2(x-1)))(y-(2x-1)/(x-1)) dy, 1, ∞

= [-2y(x/(1-x))/x3],1,∞ = undefined. stuck here
 
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  • #2
Phox said:

Homework Statement



Given joint pdf:

f(x,y) = (2/(x2(x-1)))(y-(2x-1)/(x-1)) x>1, y>1

find marginal pdf fx(x)

Homework Equations



fx(x) = ∫f(x,y)dy, 0, ∞

The Attempt at a Solution



fx(x) = ∫(2/(x2(x-1)))(y-(2x-1)/(x-1)) dy, 1, ∞

= [-2y(x/(1-x))/x3],1,∞ = undefined. stuck here

No, it is NOT undefined. You have not used all the available information.
 
  • #3
Ray Vickson said:
No, it is NOT undefined. You have not used all the available information.

have I bounded the integral correctly?
 
  • #4
Phox said:
have I bounded the integral correctly?

I don't know what you mean. However, why make things complicated? When we do the y-integral, x is a constant, so we might as well write ##f(x,y) = a y^{-b},## where ##a=2/[x^2(x-1)]## and ##b=(2x-1)/(x-1)## are 'constants' as far as y-variations are concerned. You need to use information about the magnitude of ##b##.
 

FAQ: Find marginal pdf given joint pdf (stats)

1. What is a marginal pdf?

A marginal pdf, or probability density function, is a function that gives the probability of a single random variable from a joint pdf. It represents the probability distribution of one variable while ignoring the other variables in the joint distribution.

2. How do you find the marginal pdf from a joint pdf?

To find the marginal pdf, you need to integrate the joint pdf over all possible values of the other variables. This will leave you with a function of the single variable you are interested in, representing its probability distribution.

3. What is the relationship between the joint pdf and the marginal pdf?

The joint pdf is the distribution of multiple random variables together, while the marginal pdf is the distribution of a single random variable. The marginal pdf can be derived from the joint pdf by integrating over the other variables.

4. Can you find the marginal pdf for dependent variables?

Yes, it is possible to find the marginal pdf for dependent variables. However, the method of integration will depend on the type of dependence between the variables, such as linear or non-linear.

5. Why is it important to find the marginal pdf in statistics?

Finding the marginal pdf allows us to study the probability distribution of a single variable, which can provide valuable insights and help make predictions. It is also necessary for calculating important statistics such as mean, variance, and covariance.

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