Approximating Symmetric Distributions via Sampling and Coefficient of Variation

DOI10.1080/03610926.2018.1529244OpenAlexW2907561007WikidataQ128689105 ScholiaQ128689105MaRDI QIDQ5085556

Nikolaos Farmakis, Ioanna Papatsouma

Publication date: 27 June 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1529244

zbMATH Keywords

samplingdistributionprobability density functioncoefficient of variation

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Approximations to statistical distributions (nonasymptotic) (62E17)

Uses Software

• R
• BIOMstat

Cites Work

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• An almost unbiased estimator of the coefficient of variation
• Advances in ranking and selection, multiple comparisons, and reliability. Methodology and applications.
• Two new confidence intervals for the coefficient of variation in a normal distribution

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