Computational approach test for inference about several correlation coefficients: Equality and common

DOI10.1080/03610918.2015.1030416zbMath1364.62044OpenAlexW2554322314MaRDI QIDQ5267897

A. A. Jafari, Mohammad Reza Kazemi

Publication date: 13 June 2017

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

Full work available at URL: https://doi.org/10.1080/03610918.2015.1030416

zbMATH Keywords

coverage probabilitycorrelation coefficientparametric bootstrapcomputational approach testactual size

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (3)

Objective Bayesian testing for the correlation coefficient under divergence-based priors ⋮ Objective priors for common correlation coefficient in bivariate normal populations ⋮ Comparing scale parameters in several gamma distributions with known shapes

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Testing the equality of several gamma means: a parametric bootstrap method with applications
• Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM
• Testing on the common mean of several normal distributions
• Homogeneity tests for several Poisson populations
• Confidence interval estimation of a common correlation coefficient
• On estimation and hypothesis testing problems for correlation coefficients
• Inferences on correlation coefficients: one-sample, independent and correlated cases
• Inferences on the Means of Two Log-Normal Distributions: A Computational Approach Test
• A Note on Comparing Several Poisson Means
• A Revisit to the Behrens–Fisher Problem: Comparison of Five Test Methods
• Estimation of and testing significance for a common correlation coefficient
• Test for the equality of several correlation coefficients
• ON A METHOD OF DETERMINING WHETHER A SAMPLE OF SIZE n SUPPOSED TO HAVE BEEN DRAWN FROM A PARENT POPULATION HAVING A KNOWN PROBABILITY INTEGRAL HAS PROBABLY BEEN DRAWN AT RANDOM

This page was built for publication: Computational approach test for inference about several correlation coefficients: Equality and common