Best way to integrate a moment generating function?

In summary, the conversation discusses integrating the function ∫etxx2e-x using the method of integration by parts. The solution is known to be -1/(t-3)3, but the process of integration is challenging and there is no known shortcut. One method is to use differentiation by the parameter, where In(t) represents integrals with n as the power of x. Another method is to use integration by parts multiple times. Although the final answer obtained by the conversation was incorrect (1/(1-t)3), the mean and variance were still the same as the book's answers (μ = 3, σ2 = 3).
  • #1
trojansc82
60
0

Homework Statement



∫etxx2e-x

Homework Equations



M(t) = etx f(x) dx

The Attempt at a Solution



I know the solution is -1/(t-3)3, however I'm having difficulty integrating the function. UV - ∫ V DU is extremely long and challenging, I'm wondering if there is a shortcut (i.e. quotient rule?)

Also, there is a process used here but I'm unable to understand it:

Untitled-1.jpg
 
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  • #2
trojansc82 said:

Homework Statement



∫etxx2e-x

Homework Equations



M(t) = etx f(x) dx

The Attempt at a Solution



I know the solution is -1/(t-3)3, however I'm having difficulty integrating the function. UV - ∫ V DU is extremely long and challenging, I'm wondering if there is a shortcut (i.e. quotient rule?)

Unfortunately, integration by parts is the antiderivative method generated by the product or quotient rules. I don't know of any shortcut. Let u = x2 the first round than u = x the second round and you should be able to integrate the result directly.
 
  • #3
It looks like that example integrated by parts multiple times. It is easy if you practice. Another method could be differentiation by the parameter.
Let In(t) be integrals like yours where n is the power of x

Then notice
In(t)=DnI0(t)=Dn(-1/(t-1))

where
D is differentiation with respect to t
I0(t)=(-1/(t-1))
 
  • #4
LCKurtz said:
Unfortunately, integration by parts is the antiderivative method generated by the product or quotient rules. I don't know of any shortcut. Let u = x2 the first round than u = x the second round and you should be able to integrate the result directly.

I did the integration by parts, and I ended up with 1/(1-t)3...is that incorrect?

The mean and variance were still the same as the book's answers (μ = 3, σ2 = 3)
 

FAQ: Best way to integrate a moment generating function?

What is a moment generating function?

A moment generating function is a mathematical function that is used to describe the properties of a probability distribution. It is typically denoted by M(t) and is defined as the expected value of e^(tx), where x is a random variable.

What is the purpose of integrating a moment generating function?

Integrating a moment generating function allows us to calculate the moments of a probability distribution, such as the mean, variance, and higher moments. This information can then be used to better understand and analyze the distribution.

What is the best way to integrate a moment generating function?

The best way to integrate a moment generating function depends on the specific function and the distribution it represents. In general, it involves using techniques from calculus, such as substitution and integration by parts. Consulting a mathematical reference or seeking assistance from a statistician may also be helpful.

Are there any limitations to using a moment generating function?

While moment generating functions can provide valuable information about a probability distribution, they may not exist for all distributions. Additionally, calculating higher moments can become increasingly complex and time-consuming.

How can I use the integrated moment generating function in my research or experiments?

The integrated moment generating function can be used to calculate important statistical properties of a distribution, which can then be applied in various research or experimental settings. This information can also be used to compare and analyze different distributions or to make predictions about future outcomes.

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