1: Let X be the triangular distributed random variable with the PDF given by: ᎪᏆ . f(x)=4(1x), 0, if 0 < x <½, if ½≤x≤1, otherwise. Use the direct (or exact) inverse method to generate the above distribution random variables
1: Let X be the triangular distributed random variable with the PDF given by: ᎪᏆ . f(x)=4(1x), 0, if 0 < x <½, if ½≤x≤1, otherwise. Use the direct (or exact) inverse method to generate the above distribution random variables
1: Let X be the triangular distributed random variable with the PDF given by: ᎪᏆ . f(x)=4(1x), 0, if 0 < x <½, if ½≤x≤1, otherwise. Use the direct (or exact) inverse method to generate the above distribution random variables
Let X be the triangular distributed random variable with the PDF given by:
Use the direct (or exact) inverse method to generate the above distribution random variables
Transcribed Image Text:1: Let X be the triangular distributed random variable with the PDF given by:
ᎪᏆ .
f(x)=4(1x),
0,
if 0 < x <½,
if ½≤x≤1,
otherwise.
Use the direct (or exact) inverse method to generate the above distribution random variables
Definition Definition Probability of occurrence of a continuous random variable within a specified range. When the value of a random variable, Y, is evaluated at a point Y=y, then the probability distribution function gives the probability that Y will take a value less than or equal to y. The probability distribution function formula for random Variable Y following the normal distribution is: F(y) = P (Y ≤ y) The value of probability distribution function for random variable lies between 0 and 1.
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