How do you find moment generating function?

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SUMMARY

The discussion focuses on finding the moment generating function (MGF) for a random variable X with a specified probability density function (pdf). The pdf is defined as fx(x) = x for 0 ≤ x ≤ 1 and fx(x) = 2 - x for 1 < x ≤ 2. The correct approach to calculate the MGF involves integrating the expression e^(tk) multiplied by the pdf over the respective intervals, specifically integrating from 0 to 1 and from 1 to 2. The user confirms that the MGF is computed as the sum of these two integrals.

PREREQUISITES
  • Understanding of probability density functions (pdf)
  • Knowledge of moment generating functions (MGF)
  • Familiarity with integration techniques
  • Basic concepts of random variables
NEXT STEPS
  • Study the properties of moment generating functions in probability theory
  • Practice integration of exponential functions with variable limits
  • Explore examples of moment generating functions for different probability distributions
  • Learn about the applications of MGFs in statistical analysis
USEFUL FOR

Students in statistics or probability courses, mathematicians, and anyone interested in understanding moment generating functions and their applications in probability theory.

semidevil
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I have absolutly no idea how to do this.

so let X be a random variable with pdf fx(xy) =
x for 0<=x<=1
2 - x for 1 <= 1 <= 2
0 otherwise.

I"m looking through my book, and it doesn't give examples that resembles this.

all I see is the moment is e^(tk) * the function...

and tI don't know what to do when it comes to my problem.

is it the integeral from 0 to 1 of e^(tk) * x + the integeral from 1 to 2 of e^tk * 2 - x?
 
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If you mean int(e^(t*k) *x,x= 0 .. 1) + int(e^(t*k) * (2-x),x=1 ..2) you are right.
 

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