Generating a Random Variable with a Specific Distribution Function

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SUMMARY

The discussion focuses on generating a random variable with the distribution function F(x) = 1/2(x + x²) for 0 < x < 1. The proposed method involves using a uniformly distributed random variable U over the interval (0,1) and setting U equal to 1/2(x + x²). The transformation leads to the equation 2U = x + x², which is a critical step in deriving the random variable. Participants confirm that this approach aligns with standard methods found in course materials and textbooks.

PREREQUISITES
  • Understanding of probability distributions
  • Familiarity with uniform random variables
  • Basic algebraic manipulation skills
  • Knowledge of inverse functions in probability
NEXT STEPS
  • Study the method of inverse transform sampling
  • Learn about generating random variables from different distribution functions
  • Explore the properties of the uniform distribution
  • Review examples of transforming random variables in probability theory
USEFUL FOR

Students in statistics or probability courses, data scientists, and anyone interested in random variable generation techniques.

twoski
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Homework Statement



Give a method for generating a random variable with distribution function

F(x) = 1/2[itex](x+x^{2})[/itex]

0<x<1

The Attempt at a Solution



From what i can tell i am supposed to do something like:

Let U be a uniformly distributed random variable over (0,1).

U = 1/2[itex](x+x^{2})[/itex]

2U = [itex]x+x^{2}[/itex]

Am i on the right track?
 
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twoski said:

Homework Statement



Give a method for generating a random variable with distribution function

F(x) = 1/2[itex](x+x^{2})[/itex]

0<x<1

The Attempt at a Solution



From what i can tell i am supposed to do something like:

Let U be a uniformly distributed random variable over (0,1).

U = 1/2[itex](x+x^{2})[/itex]

2U = [itex]x+x^{2}[/itex]

Am i on the right track?

You can answer that for yourself. Does your method match something in your course notes or textbook or in a web page?
 

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