Transforming F distribution into B distribution.

Your Name]In summary, the given expression Y has a beta distribution with parameters r1 and r2. This can be shown by rewriting Y as the reciprocal of a beta distributed variable and using the fact that the reciprocal of a beta distributed variable is also beta distributed with swapped parameters. This approach is simpler and more direct than the attempt presented in the conversation.
  • #1
cookiesyum
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Homework Statement



Show that

Y = 1 / [ 1 + (r1/r2)W ]

where W has an F distribution with parameters r1 and r2 has a beta distribution.

The Attempt at a Solution



P(Y<or=y) = P(1 / [ 1 + (r1/r2)W ] <or = y) = P( W > (1/y - 1)(r2/r1)) = 1 - P(W<or= (1/y - 1)(r2/r1))...etc

Then I use the known pdf of an F distributed variable and try to simplify it into the form of a beta distribution's pdf, but I get stuck in the simplification process. Is there an easier/better/more correct approach to this problem?

Any hints would help!
 
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  • #2




Thank you for your post. I understand your attempt at solving this problem, but there is actually a simpler and more direct approach to showing that Y has a beta distribution. Let's take a closer look at the given expression for Y:

Y = 1 / [ 1 + (r1/r2)W ]

We can rewrite this as:

Y = (1 + (r1/r2)W)^(-1)

Now, we can use the fact that the reciprocal of a beta distributed variable with parameters a and b is also beta distributed with parameters b and a. So, we can write:

Y = (1 + (r1/r2)W)^(-1) = (1 + (r2/r1)(1/W))^(-1)

This can be seen as the reciprocal of a beta distributed variable with parameters b = r1 and a = r2. Therefore, Y has a beta distribution with parameters r1 and r2.

I hope this helps. Let me know if you have any further questions.


 

What is the difference between F distribution and B distribution?

F distribution and B distribution are both probability distributions used in statistics. The main difference between the two is that F distribution is used for testing the equality of two population variances, while B distribution is used for testing the equality of two population proportions.

Why would one need to transform F distribution into B distribution?

One might need to transform F distribution into B distribution in order to compare two proportions instead of variances. This could be useful in situations where the data being analyzed does not follow a normal distribution, which is a requirement for using F distribution.

What is the process for transforming F distribution into B distribution?

The process for transforming F distribution into B distribution involves calculating the F statistic using the sample data, finding the p-value associated with this F statistic, and then using this p-value to calculate the B statistic. The B statistic can then be used to determine if there is a significant difference between the two proportions being compared.

Can the transformed B distribution be used for any type of hypothesis test?

No, the transformed B distribution can only be used for testing the equality of two population proportions. It cannot be used for other types of hypothesis tests, such as testing the equality of means.

What are some potential limitations of transforming F distribution into B distribution?

One limitation is that the transformed B distribution is only applicable for testing the equality of two population proportions. If the hypothesis test involves comparing means or other parameters, then transforming F distribution into B distribution would not be appropriate. Additionally, the accuracy of the results may be affected by the sample size and the underlying assumptions of the data.

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