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0 votes
0 answers
133 views

Bootstrapping variance in R gives weird shaped distribution- how to obtain confidence intervals?

this is the first time I've used bootstrapping so it's quite basic! I'm trying to obtain confidence intervals for the standardised variance- defined as the variance over the square of the mean- across ...
Ellen's user avatar
  • 41
5 votes
1 answer
1k views

Variance of unbiased estimator for the shape parameter of Pareto distribution

I'm interested in getting the error bounds of the unbiased estimator of the shape parameter ($\alpha$) using maximum likelihood method of Pareto distribution. The unbiased estimator is known to be ...
Dovini Jayasinghe's user avatar
0 votes
1 answer
1k views

Confidence intervals and variance for ordinal scale set [0-5]

We have a known sample of data coming from a multiple choice ordinal scale survey question with scores from the set [0,1,2,3,4,5]. In one sample, the mean of this ...
nick_alot's user avatar
  • 101
1 vote
0 answers
87 views

What are meaningful ways to interpret Monte Carlo-simulated non-normal data?

My question relates to Confidence Interval (CI) calculation of Monte Carlo-simulated non-normal data As answers and comments to that question show the confidence interval for the given distribution ...
ye-ti-800's user avatar
  • 113
1 vote
0 answers
111 views

Confidence interval for variances

I have a lot of variances $\sigma^2(x)$ as these: Now I have two task: remove the vertical outliers and compute the confidence intervals (for all cases, this is only one case). I think that their ...
Giacomo Alessandroni's user avatar