Cumulative distribution function

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SUMMARY

The discussion focuses on determining the joint cumulative distribution function (CDF) F(x,y) for continuous random variables X and Y with the joint probability density function f(x,y) = e^{-y} for 0 ≤ x ≤ y. The solution involves evaluating F(x,y) through a series of integrals based on three cases: when x ≤ 0 or y ≤ 0, when 0 < x < y, and when 0 < y < x. Additionally, the marginal CDFs F_X(x) and F_Y(y) are derived using the limits of the joint CDF as Y and X approach infinity, respectively.

PREREQUISITES
  • Understanding of joint probability density functions
  • Knowledge of cumulative distribution functions
  • Familiarity with double integrals in probability theory
  • Concept of limits in calculus
NEXT STEPS
  • Study the derivation of joint cumulative distribution functions in probability theory
  • Learn about marginal distributions and their relationship to joint distributions
  • Explore the properties of continuous random variables
  • Practice solving problems involving double integrals in the context of probability
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Students and professionals in statistics, data science, and mathematics who are working with continuous random variables and require a deeper understanding of joint and marginal cumulative distribution functions.

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Homework Statement



Let X and Y be continuous random variables having joint probability density function

[tex]f(x,y) = e^{-y}[/tex] if 0 [tex]\leq x \leq y[/tex]

A) Determine the joint cumulative distribution function F(x,y) of X and Y. (Hint: Consider the three cases 1) [tex]x \leq 0[/tex] or [tex]y \leq 0[/tex] 2) 0 < x < y 3) 0 <y < x

B) Let [tex]F_X (x)[/tex] and [tex]F_Y (y)[/tex] be the marginal cumulative distribution functions of X and Y. One can show that [tex]F_X (x) = Lim_{Y \rightarrow \infty} F(x,y)[/tex] and [tex]F_Y (y) = Lim_{X \rightarrow \infty} F(x,y)[/tex]. Use this result to obtain [tex]F_X (x)[/tex] and [tex]F_Y (y)[/tex]

Homework Equations





The Attempt at a Solution



Not sure how to start with A).

I know that [tex]F(x,y) = \int^x_{- \infty} \int^y_{- \infty} f(x,y) dy dx[/tex]

Does it mean for the case where x < 0 it would be:

[tex]F(x,y) = \int^0_{- \infty} \int^y_{- \infty} f(x,y) dy dx[/tex] ?
 
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So considering the 3 cases, would it be the following series of integrals:

[tex]\int^x_{- \infty}\int^0_{- \infty}f(u,v) dv du + \int^x_{- \infty}\int^y_{x}f(u,v) dv du + \int^x_{- \infty}\int^x_{y}f(u,v) dv du[/tex]
 

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