Confidence interval estimation for the population coefficient of variation using ranked set sampling: a simulation study

DOI10.1080/02664763.2013.847405OpenAlexW2087240202MaRDI QIDQ5128621

B. M. Golam Kibria, Bashar Zogheib, Ahmed N. Albatineh, Meredith L. Wilcox

Publication date: 28 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.847405

zbMATH Keywords

confidence intervalcoverage probabilityranked set samplecoefficient of variationsimple random sample

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (9)

Parameter estimation for the exponential-Poisson distribution based on ranked set samples ⋮ Inference on skew-normal distribution based on Fisher information in order statistics ⋮ Better confidence intervals for the population coefficient of variation ⋮ Bootstrap confidence intervals for the coefficient of quartile variation ⋮ Unnamed Item ⋮ Confidence intervals for mean and difference of means of normal distributions with unknown coefficients of variation ⋮ Perfect ranking test in moving extreme ranked set sampling ⋮ Performance of coefficient of variation estimators in ranked set sampling ⋮ Testing skew-symmetry based on extreme ranked set sampling

Uses Software

• R

Cites Work

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• Asymptotics of the sample coefficient of variation and the sample dispersion
• Optimal rank set sampling estimates for a population proportion
• On unbiased estimates of the population mean based on the sample stratified by means of ordering
• Two new confidence intervals for the coefficient of variation in a normal distribution
• Confidence intervals for a population proportion based on a ranked set sample
• Ranked Set Sampling Theory with Order Statistics Background
• Estimation of Variance Using Judgment Ordered Ranked Set Samples
• Distribution of the Coefficient of Variation and the Extended "t" Distribution
• More efficient monte carlo methods obtained by using ranked set simulated samples
• A New Ranked Set Sample Estimator of Variance
• Estimation of Ratio Using Rank Set Sampling
• Local influence analysis for regression models with scale mixtures of skew-normal distributions

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