On Symmetrizing Transformation of the Sample Coefficient of Variation from a Normal Population

DOI10.1080/03610918.2012.687065zbMath1302.62036OpenAlexW2055156195MaRDI QIDQ5299950

Debaraj Sen, Murari Singh, Yogendra P. Chaubey

Publication date: 24 June 2013

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.687065

zbMATH Keywords

variance-stabilizing transformationcoefficient of variationmoment approximationsymmetrizing transformation

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items

Symmetrizing and variance stabilizing transformations of sample coefficient of variation from inverse Gaussian distribution, Bayesian inference for inverse Gaussian data with emphasis on the coefficient of variation, Estimation and testing of a common coefficient of variation from inverse Gaussian distributions

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Variance stabilizing and normalizing transformations for the compound Poisson process
• Multiple time scales and the lifetime coefficient of variation: Engineering applications
• Transformation theory: How normal is a family of distributions?
• A new family of power transformations to improve normality or symmetry
• Estimating the Population Coefficient of Variation by Confidence Intervals
• Normalizing the Noncentral $t$ and $F$ Distributions
• Monitoring Field Variability Using Confidence Interval for Coefficient of Variation
• Power transformations to symmetry
• On power transformations to symmetry
• Distribution of the Coefficient of Variation and the Extended "t" Distribution
• Assessing Reproducibility by the Within-Subject Coefficient of Variation with Random Effects Models
• Linear Statistical Inference and its Applications
• Transformations: An Introduction and a Bibliography
• The Sampling Distribution of the Coefficient of Variation
• THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
• Sobre la distribucion t no central generalizaciones y distribuciones relacionadas