Nonparametric confidence intervals for population variance of one sample and the difference of variances of two samples
DOI10.1016/j.csda.2007.03.023zbMath1445.62096OpenAlexW2086834684MaRDI QIDQ1020650
Andrija Tomovic, Vesna Cojbasic
Publication date: 2 June 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2007.03.023
bootstrapconfidence intervalskewnessEdgeworth expansionconfidence interval for difference in variances
Asymptotic distribution theory in statistics (62E20) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)
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Uses Software
Cites Work
- Edgeworth expansion for Student's t statistic under minimal moment conditions
- Computational algorithms for double bootstrap confidence intervals
- Approximate confidence interval for standard deviation of nonnormal distributions
- Robust variance estimation for random effects meta-analysis
- On the number of bootstrap simulations required to construct a confidence interval
- On a partial correction by the bootstrap
- Theoretical comparison of bootstrap confidence intervals
- On the asymptotic accuracy of Efron's bootstrap
- Asymptotic Approximations to Distributions
- Prepivoting to reduce level error of confidence sets
- Modified t Tests and Confidence Intervals for Asymmetrical Populations
- Testing the Mean of Skewed Distributions
- Nonparametric confidence intervals for the one- and two-sample problems
- The bootstrap and Edgeworth expansion
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