Exponential distribution from uniform distribution
Answers
Answered by
4
Related distributions.
If X has a standard uniform distribution, then by the inverse transform sampling method,
Y = − λ−1
Hey buddy here is ur answer ...
ln (X) has an exponential distribution with (rate) parameter λ. U(0,1) distributions.
The sum of two independent, equally distributed, uniform distributions yields a symmetric triangular distribution .
☺ BE BRAINLY ☺
If X has a standard uniform distribution, then by the inverse transform sampling method,
Y = − λ−1
Hey buddy here is ur answer ...
ln (X) has an exponential distribution with (rate) parameter λ. U(0,1) distributions.
The sum of two independent, equally distributed, uniform distributions yields a symmetric triangular distribution .
☺ BE BRAINLY ☺
Answered by
4
Hey buddy here is ur answer......
It can be shown for the exponential distribution that the mean is equal to the standard deviation;
i.e., μ = σ = 1/λ
Moreover, the exponential distribution is the only continuous distribution that is "memoryless",
in the sense that P(X > a+b.
If X has a standard uniform distribution,
then by the inverse transform sampling method,
Y = − λ−1
ln (X) has an exponential distribution with (rate) parameter λ. U(0,1) distributions.
The sum of two independent, equally distributed, uniform distributions yields a symmetric triangular distribution .
Hope u like answer ...
☺ BE BRAINLY ☺
It can be shown for the exponential distribution that the mean is equal to the standard deviation;
i.e., μ = σ = 1/λ
Moreover, the exponential distribution is the only continuous distribution that is "memoryless",
in the sense that P(X > a+b.
If X has a standard uniform distribution,
then by the inverse transform sampling method,
Y = − λ−1
ln (X) has an exponential distribution with (rate) parameter λ. U(0,1) distributions.
The sum of two independent, equally distributed, uniform distributions yields a symmetric triangular distribution .
Hope u like answer ...
☺ BE BRAINLY ☺
Similar questions
Science,
7 months ago
English,
7 months ago
Math,
1 year ago
Physics,
1 year ago
Social Sciences,
1 year ago