Moment Generating Function (MGF) Calculator
Calculate the Moment Generating Function for any probability distribution with ease. Enter your distribution and variable to get the MGF expression instantly.
Enter your probability distribution function and the variable for MGF calculation.
Example distribution: exp(-x) for x>=0, 0 otherwise
MGF Expression:
Understanding Moment Generating Functions (MGFs)
The Moment Generating Function (MGF) is a vital tool in probability. For a random variable \(X\), MGF, \(M_X(t)\), is \(E[e^{tX}]\). It helps determine distribution moments; the \(n^{th}\) moment \(E[X^n]\) is the \(n^{th}\) derivative of \(M_X(t)\) at \(t=0\).
MGFs are unique to each distribution and simplify work with linear combinations and sums of independent random variables. This calculator aids in finding MGFs for given distributions, enhancing your probability analysis.
Further resources: