Deriving the Formula for Variance of Variance in Sample Data

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Discussion Overview

The discussion revolves around deriving the formula for the variance of variance in sample data, drawing parallels to the variance of a sample mean. Participants are exploring theoretical aspects of statistical variance calculations.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant seeks assistance in deriving the formula for the variance of variance, suggesting it is similar to the variance of a sample mean.
  • Another participant references a specific book that contains the derivation for the variance of sample mean and sample variance, indicating a source for further exploration.
  • A participant questions the correctness of the initial claim regarding the variance of variance, proposing a different formula.
  • Further clarification is sought by the original poster regarding the accuracy of the proposed formula.

Areas of Agreement / Disagreement

There is disagreement regarding the correct formula for the variance of variance, with multiple competing views presented without a consensus on the correct derivation.

Contextual Notes

Participants reference specific literature for derivations, but the discussion does not resolve the mathematical steps or assumptions involved in the derivation process.

Beamer
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Hopefully someone will be able to help me.

I am trying to derive the formula for variance of variance for a sample. This would be similar to variance of a sample mean which is sigma/sqrt(N).


I know the variance of sample variance is sigma^2 * sqrt (2) / N, but I can't prove it.

Please help!
 
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book: Estimation with Applications to Tracking and Navigation (Hardcover)
by Yaakov Bar-Shalom, X. Rong Li, Thiagalingam Kirubarajan, chapter 2.6.3 The variance of the sample mean and sample varinace, page 106. I assume I cannot put the copy of that page because of the copyright. The derivation is there.
 
Last edited:
Thanks

And is the answer the same as I posted?

Thanks
Beamer
 
nope :) probably you've made a mistake.
The answer is [tex]\sigma^2\sqrt{\frac{2}{N}[/tex]
 
Thanks istealth

Thanks - appreciate your help
 

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