answersLogoWhite

0

Moment generating function and its applications?

Updated: 8/18/2019
User Avatar

Wiki User

14y ago

Want this question answered?

Be notified when an answer is posted

Add your answer:

Earn +20 pts
Q: Moment generating function and its applications?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

How is the mgf of Hypergeometric distribution driven?

A moment generating function does exist for the hypergeometric distribution.


How do you derive the moment generating function of an exponential distribution?

To derive the moment generating function of an exponential distribution, you can use the definition of the moment generating function E(e^(tX)) where X is an exponential random variable with parameter λ. Substitute the probability density function of the exponential distribution into the moment generating function formula and simplify the expression to obtain the final moment generating function for the exponential distribution, which is M(t) = λ / (λ - t) for t < λ.


Uniform distribution and moment generating function?

See: http://en.wikipedia.org/wiki/Uniform_distribution_(continuous)


How do you obtain the moment generating function of a Poisson distribution?

Using the Taylor series expansion of the exponential function. See related links


Obtaining moment generating function of poisson distribution?

The MGF is exp[lambda*(e^t - 1)].


What are the applications of battery at generating stations?

The applications of battery at the generating stations is that they are used for applications maintenance and test schedules.


What is the moment generating function for normal distribution with mean 20 and variance 25?

It is exp(20t + 25/2*t^2).


How do you find expectation and variance of a variable using moment generating functions?

The derivative of the moment generating function is the expectation. The variance is the second derivative of the moment generation, E(x^2), minus the expectation squared, (E(x))^2. ie var(x)=E(x^2)-(E(x))^2 :)


Moment generating and the cumulant generating function of poisson distribution?

The moment generating function is M(t) = Expected value of e^(xt) = SUM[e^(xt)f(x)] and for the Poisson distribution with mean a inf = SUM[e^(xt).a^x.e^(-a)/x!] x=0 inf = e^(-a).SUM[(ae^t)^x/x!] x=0 = e^(-a).e^(ae^t) = e^[a(e^t -1)]


Applications of battery in generating station?

In a generating station the battery is used to test schedules.


Solutionsn of Moment-generating functions?

Your question did not identify one distribution in particular. I have provide in the related link the moment generating functions of various probability distributions.


What is the function of the mitochondrioa?

Energy generating.