Nonparametric Tests for Comparing Several Coefficients of Variation
type: Item
instance of: scholarly article
title: Nonparametric Tests for Comparing Several Coefficients of Variation
zbMATH Open document ID: 1311.62065
DOI: 10.1080/03610926.2012.697966
author: R. A. Al-Jarallah
author: Emad-Eldin A. A. Aly
publication date: 2014-11-26T00:00:00Z
Mathematics Subject Classification ID: 62G10
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6374117
zbMATH Keywords: nonparametric tests
zbMATH Keywords: strong approximations
zbMATH Keywords: coefficient of variation
zbMATH Keywords: Wiener processes
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/03610926.2012.697966
OpenAlex ID: W2006810591
cites work: Nonparametric tests for a change in the coefficient of variation
cites work: Estimating the Population Coefficient of Variation by Confidence Intervals
cites work: A Nonparametric Bootstrap Test for the Equality of Coefficients of Variation
cites work: Some exact tables for the squared ranks test
cites work: The coefficient of variation asymptotic distribution in the case of non-iid random variables
cites work: Extensions of results of Komlós, Major, and Tusnády to the multivariate case
cites work: Estimator and Tests for Common Coefficients of Variation in Normal Distributions
cites work: Testing the equality of coefficients of variation in k normal populations
cites work: Evaluation of the one-sided percentage points of the singular multivariate normal distribution
cites work: A two sample test of equality of coefficients of variation or relative errors
cites work: Distribution of the Coefficient of Variation and the Extended "t" Distribution
cites work: Use of the squared ranks test to test for the equality of the coefficients of variation
cites work: Asymptotic inference for coefficients of variation
cites work: Tests of Coefficients of Variation of Normal Population
cites work: Q3395931
cites work: Multidimensional version of the results of Komlos, Major and Tusnady for vectors with finite exponential moments
published in: Communications in Statistics: Theory and Methods
description: scientific article