Help Understanding Nasty Integrals in Math Stats Class

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Homework Help Overview

The discussion revolves around understanding moment generating functions in the context of mathematical statistics, specifically involving random variables and their probability functions.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to find moment generating functions through integration, expressing confusion over the complexity of the results. Some participants suggest using integration by parts and question the setup of the integrals. Others clarify the nature of the second problem, indicating it involves a sum rather than an integral.

Discussion Status

Participants are actively engaging with the problems, providing guidance on integration techniques and clarifying misunderstandings. There is a recognition of the need to correct initial approaches, particularly regarding the integration by parts method.

Contextual Notes

Participants are navigating the challenges of integrating functions related to probability distributions, with some expressing uncertainty about the correct formulation of the problems. There are indications of confusion regarding constants and the nature of the second question.

Snarf
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I'm in a mathematical statistics class and it is spanking me. Please help.

I have two questions that will really help me understand things if I get a nice explanation.

1. A random variable Y has the following probability function p(y) = y[tex]^{2}[/tex]/15 for y = 1, 2, 3. Findthe moment generating function for Y.

What this problem requires is the integration of m(t) = E[e^ty] = [tex]\int[/tex] e[tex]^{ty}[/tex]y[tex]^{2}[/tex]/15dy integrated from 1 to 3.

I used integration by parts but succeeded in getting something very large and ugly.

The second question is along the same lines:

2. Let Y be a random variable with [tex]\mu[/tex][tex]^{'}_{k}[/tex]=[1 + 2[tex]^{k+1}[/tex] + 3[tex]^{k+1}[/tex]]/6

I need to inegrate m(t) = E[e[tex]^{ty}[/tex]] = [tex]\int[/tex][tex]e^{ty}[/tex][1 + 2[tex]^{k+1}[/tex] + 3[tex]^{k+1}[/tex]]/6 dy from 0 to infinity finding the first four terms and indicating the sum continues.

Anyone?
 
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Snarf said:
I'm in a mathematical statistics class and it is spanking me. Please help.

I have two questions that will really help me understand things if I get a nice explanation.

1. A random variable Y has the following probability function p(y) = y[tex]^{2}[/tex]/15 for y = 1, 2, 3. Findthe moment generating function for Y.

What this problem requires is the integration of m(t) = E[e^ty] = [tex]\int[/tex] e[tex]^{ty}[/tex]y[tex]^{2}[/tex]/15dy integrated from 1 to 3.

I used integration by parts but succeeded in getting something very large and ugly.
Large and ugly? I don't see why you would! Any time you have a power of x times an integrable function, it should be reasonably easy to reduce. Let u= y2 and dv= etydy. Then du= 2y dy and v= (1/t)ety. You now have
[tex](1/t)e^{ty}y^2\right|_{y=1}^{3} -(2/t)\int_{y= 1}^3 ye^{ty}dy[/tex]
Use integration by parts again with u= y, dv= etydy.

The second question is along the same lines:

2. Let Y be a random variable with [tex]\mu[/tex][tex]^{'}_{k}[/tex]=[1 + 2[tex]^{k+1}[/tex] + 3[tex]^{k+1}[/tex]]/6

I need to inegrate m(t) = E[e[tex]^{ty}[/tex]] = [tex]\int[/tex][tex]e^{ty}[/tex][1 + 2[tex]^{k+1}[/tex] + 3[tex]^{k+1}[/tex]]/6 dy from 0 to infinity finding the first four terms and indicating the sum continues.

Anyone?
Are you sure that's what you have? [1+ 2k+1+ 3k+1]/6 is a constant! You only need to integrate ety.
 
I see where I went wrong on the first problem. my dv and my v for the first integration by parts was switched. Thanks for clearing that up.
 
On the second problem it isn't an integral. Its a sum. Here is how I should have written it.

[tex]\sum[/tex]e[tex]^{ty}[/tex][(1+2[tex]^{k+1}[/tex]+3[tex]^{k+1}[/tex])/6]
 

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