The probability density function as calculated from the given data is fₙ (u)=−ln(u).
Y1 and Y2 are independent random variables and both have uniform distribution over the interval (0,1)(0,1).
We need to find out the density function of U = Y1Y2 using the method of transformations.
Density function of Y1
= 0 or 1
Density function of Y2
= 0 or 1
Therefore joint density function is,
( 0 , 1) where, 0≤y 1 ≤1,0≤y 2 ≤1
There are 3 steps to find joint density function of Y and U using methods of transformations
Hence, the required probability density function is :
fₙ (u)=−ln(u)
An independent random variable is one that has no effect on the other random variables in your experiment. In other words, it has no bearing on the likelihood of another occurrence occurring.
To learn more about independent random variables
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