Solve Bartlett's Formula: Example 2.4.2 | Get Expert Help

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In summary: I read that part of the formula.In summary, the author is trying to find out how they did the example 2.4.2. They worked out $w_{ij}$ using (2.4.10) but I am not entirely sure what the inputs for the formula are.
  • #1
nacho-man
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Hi,
Just having some difficulty computing the example (i,j) element of the cov matrix W here from the given formula.

Could anyone provide some guidance?
I have attached the example question (example 2.4.2) and also the supporting equation previous from it.

Any assistance is greatly appreciated.

Thanks!
 

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  • #2
Hi nacho,

I will start with I probably can't help you but am interested in this question as well. Last semester I took a course on Time Series and I think that's what you are doing as well. The theory can be difficult at times.

In your post though I don't see any actual problem to solve. I see the two formulas for an infinite sum to calculate $w_{ij}$ and some text in the second picture, but nothing that looks like a question. Can you explain a bit more please what you are trying to do?
 
  • #3
Thanks for replying Jameson.

in particular, i am trying to find out how they did the example 2.4.2.

They worked out $w_{ij}$ using (2.4.10) but I am not entirely sure what the inputs for the formula are.
 
  • #4
nacho said:
Hi,
Just having some difficulty computing the example (i,j) element of the cov matrix W here from the given formula.

Could anyone provide some guidance?
I have attached the example question (example 2.4.2) and also the supporting equation previous from it.

Any assistance is greatly appreciated.

Thanks!
I know nothing about Bartlett's formula, but I can tell you how to get 2.4.2 from 2.4.10. The formula 2.4.10 says $$w_{ij} = \sum_{k=-\infty}^\infty \{\rho(k+i) + \rho(k-i) -2\rho(i)\rho(k)\} \times \{\rho(k+j) + \rho(k-j) -2\rho(j)\rho(k)\}.$$ In Example 2.4.2 you are told that $\rho(h)=0$ for almost all values of $h$. In fact, the only value of $h$ for which $\rho(h)\ne0$ is $h=0$, and in that case $\rho(0) = 1$. All the terms on the right side of 2.4.10 involve values of $\rho$, so you can put them all equal to $0$ unless they might be equal to $\rho(0).$ So in the expression $\rho(k+i) + \rho(k-i) -2\rho(i)\rho(k)$, the terms $\rho(k+i)$ and $2\rho(i)\rho(k)$ will always be zero, and the only term that can survive is $\rho(k-i)$ (which will be nonzero when $k=i$). The same argument applies to the other expression in the formula 2.4.10, namely $\rho(k+j) + \rho(k-j) -2\rho(j)\rho(k)$, which reduces to $\rho(k-j).$ Thus 2.4.10 becomes $$w_{ij} = \sum_{k=-\infty}^\infty \rho(k-i)\rho(k-j).$$ In that infinite sum, all the terms will again be zero (because either $k-i$ or $k-j$ will be nonzero), unless $i=j$, in which case there is one nonzero term (when $k=j$). Therefore $w_{ij}=0$ unless $i=j$ in which case $w_{ij}=1.$
 
  • #5
Opalg said:
I know nothing about Bartlett's formula, but I can tell you how to get 2.4.2 from 2.4.10. The formula 2.4.10 says $$w_{ij} = \sum_{k=-\infty}^\infty \{\rho(k+i) + \rho(k-i) -2\rho(i)\rho(k)\} \times \{\rho(k+j) + \rho(k-j) -2\rho(j)\rho(k)\}.$$ In Example 2.4.2 you are told that $\rho(h)=0$ for almost all values of $h$. In fact, the only value of $h$ for which $\rho(h)\ne0$ is $h=0$, and in that case $\rho(0) = 1$. All the terms on the right side of 2.4.10 involve values of $\rho$, so you can put them all equal to $0$ unless they might be equal to $\rho(0).$ So in the expression $\rho(k+i) + \rho(k-i) -2\rho(i)\rho(k)$, the terms $\rho(k+i)$ and $2\rho(i)\rho(k)$ will always be zero, and the only term that can survive is $\rho(k-i)$ (which will be nonzero when $k=i$). The same argument applies to the other expression in the formula 2.4.10, namely $\rho(k+j) + \rho(k-j) -2\rho(j)\rho(k)$, which reduces to $\rho(k-j).$ Thus 2.4.10 becomes $$w_{ij} = \sum_{k=-\infty}^\infty \rho(k-i)\rho(k-j).$$ In that infinite sum, all the terms will again be zero (because either $k-i$ or $k-j$ will be nonzero), unless $i=j$, in which case there is one nonzero term (when $k=j$). Therefore $w_{ij}=0$ unless $i=j$ in which case $w_{ij}=1.$
precisely what I needed, thank you! that makes complete sense, I just couldn't recognise that the k's, i's and j's were just referring to h
 

FAQ: Solve Bartlett's Formula: Example 2.4.2 | Get Expert Help

What is Bartlett's formula?

Bartlett's formula is a mathematical equation used to estimate the variance of a statistical sample.

Why is Bartlett's formula important?

Bartlett's formula is important because it allows researchers to estimate the variance of a sample without having to collect data from the entire population, which can be time-consuming and expensive.

How do you solve Bartlett's formula?

To solve Bartlett's formula, you need to gather the sample data and plug it into the equation: s² = (1/n) * (∑(xᵢ - x̄)²) where s² represents the estimated variance, n is the sample size, xᵢ is each data point, and x̄ is the mean of the sample.

Can Bartlett's formula be used for any type of sample?

Yes, Bartlett's formula can be used for any type of sample, as long as the data follows a normal distribution.

Are there any limitations to Bartlett's formula?

Yes, Bartlett's formula assumes that the sample data comes from a normal distribution and that the sample size is large enough to accurately estimate the variance. If these assumptions are not met, the results may not be accurate.

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