Unlock the Mystery of Tricky Joint PDF with Expert Tips | Attached Image

  • Context: MHB 
  • Thread starter Thread starter nacho-man
  • Start date Start date
  • Tags Tags
    Joint Pdf
Click For Summary
SUMMARY

The discussion centers on solving a set of simultaneous equations derived from a bivariate probability density function (PDF) represented by the formula: $\displaystyle f(x,y) = \frac{1}{2\ \pi\ \sigma_{x}\ \sigma_{y}\ \sqrt{1- \rho^{2}}}\ e^{- \frac{z}{2\ (1-\rho^{2})}}$. Participants focus on determining the unknown parameters $\sigma_{x}$, $\sigma_{y}$, and $\rho$ using the equations $\displaystyle \sigma^{2}_{x}\ (1-\rho^{2}) = \frac{1}{4}$, $\displaystyle \sigma^{2}_{y}\ (1-\rho^{2})= \frac{1}{9}$, and $\displaystyle \sigma_{x}\ \sigma_{y}\ \frac{1-\rho^{2}}{\rho} = \frac{1}{6}$. One participant successfully derived the relationship $\sigma_x = \frac{3\sigma_y}{2}$ but struggled to find a complete solution for all variables.

PREREQUISITES
  • Understanding of bivariate probability density functions (PDFs)
  • Familiarity with statistical parameters such as $\sigma_{x}$, $\sigma_{y}$, and $\rho$
  • Knowledge of solving simultaneous equations
  • Basic grasp of exponential functions in probability theory
NEXT STEPS
  • Research methods for solving simultaneous equations in statistics
  • Study the properties of bivariate normal distributions
  • Explore advanced statistical techniques for parameter estimation
  • Learn about the implications of correlation coefficients in bivariate distributions
USEFUL FOR

Statisticians, data analysts, and researchers working with bivariate distributions or involved in statistical modeling and parameter estimation.

nacho-man
Messages
166
Reaction score
0
Please refer to the attached image.

How am I supposed to integrate this, it's impossible to find anything!
 

Attachments

  • Untitled.jpg
    Untitled.jpg
    10.3 KB · Views: 87
Physics news on Phys.org
nacho said:
Please refer to the attached image.

How am I supposed to integrate this, it's impossible to find anything!

Also in this case try to avoid a 'brute force approach' supposing the f(x,y) is a normal bivariate p.d.f. like...

$\displaystyle f(x,y) = \frac{1}{2\ \pi\ \sigma_{x}\ \sigma_{y}\ \sqrt{1- \rho^{2}}}\ e^{- \frac{z}{2\ (1-\rho^{2})}}\ (1)$

... where...

$\displaystyle z = \frac{(x-\mu_{x})^{2}}{\sigma_{x}^{2}} + \frac{(y-\mu_{y})^{2}}{\sigma_{y}^{2}} - 2\ \frac{\rho\ (x - \mu_{x})\ (y-\mu_{y})}{\sigma_{x}\ \sigma_{y}}\ (2)$

In Your formula there are in the exponent only quaqdratic terms in x and y, so that is $\displaystyle \mu_{x}=\mu_{y}=0$ and that means that You have to find the unknown terms $\sigma_{x}$, $\sigma_{y}$ and $\rho$. That can be performed writing...

$\displaystyle \sigma^{2}_{x}\ (1-\rho^{2}) = \frac{1}{4}$

$\displaystyle \sigma^{2}_{y}\ (1-\rho^{2})= \frac{1}{9}$

$\displaystyle \sigma_{x}\ \sigma_{y}\ \frac{1-\rho^{2}}{\rho} = \frac{1}{6}\ (3)$

Are you able to solve the (3) finding $\sigma_{x}$, $\sigma_{y}$ and $\rho$?...

Kind regards

$\chi$ $\sigma$
 
I can't see any way to make simultaneous equations here.

I ended up getting

$\sigma_x = \frac{3\sigma_y}{2} $ but that's as close as i could get
 

Similar threads

Replies
2
Views
3K
Replies
1
Views
2K
Replies
11
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
7K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
20
Views
4K