Two new confidence intervals for the coefficient of variation in a normal distribution

DOI10.1080/02664760802474249zbMath1473.62081OpenAlexW1993241069MaRDI QIDQ3183902

Hossein Hassani, Rahim Mahmoudvand

Publication date: 21 October 2009

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

Full work available at URL: https://doi.org/10.1080/02664760802474249

zbMATH Keywords

normal distributionconfidence intervalcoefficient of variation

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Point estimation (62F10)

Related Items (13)

Exponentially weighted moving average control charts for monitoring coefficient of variation under ranked set-sampling schemes ⋮ Approximating Symmetric Distributions via Sampling and Coefficient of Variation ⋮ Adjusted generalized confidence intervals for the common coefficient of variation of several normal populations ⋮ Unnamed Item ⋮ Expectation values and variance based on \(\mathcal L^p\)-norms ⋮ Confidence interval estimation for the population coefficient of variation using ranked set sampling: a simulation study ⋮ New confidence interval estimator of the signal-to-noise ratio based on asymptotic sampling distribution ⋮ Confidence intervals for the coefficient of variation in a normal distribution with a known population mean ⋮ Confidence intervals for the weighted coefficients of variation of two-parameter exponential distributions ⋮ An Improvement of the Nonparametric Bootstrap Test for the Comparison of the Coefficient of Variations ⋮ Confidence bounds on the coefficient of variation of a normal distribution with applications to win-probabilities ⋮ A simple algorithm for calculating values for folded normal distribution ⋮ Small-sample tests for the equality of two normal cumulative probabilities, coefficients of variation, and Sharpe ratios

Cites Work

• Unnamed Item
• Simultaneous estimation of coefficients of variation
• Small sample asymptotic inference for the coefficient of variation: normal and nonnormal models
• Graphical Methods for Evaluating and Comparing Confidence-Interval Procedures
• A Numerical Test of the Adequacy of A. T. McKay's Approximation
• Comparison of A. T. McKay's Approximation with Experimental Sampling Results
• Confidence intervals for the coefficient of variation for the normal and log normal distributions
• The Sampling Distribution of the Coefficient of Variation

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