Comparing Measures of Location: Some Small-Sample Results When Distributions Differ in Skewness and Kurtosis Under Heterogeneity of Variances

DOI10.1080/03610918.2011.636163zbMath1327.62183OpenAlexW1985894492MaRDI QIDQ5299833

Rand R. Wilcox, Engin Yildiztepe, A. Fırat Özdemir

Publication date: 21 June 2013

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

Full work available at URL: https://doi.org/10.1080/03610918.2011.636163

zbMATH Keywords

trimmed meanHall's transformationbootstrap-\(t\) methodpercentile bootstrap methodbootstrap-t \(B^2_t\) testone-step M-estimatorRFCH estimatorYuen's test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (1)

Theoretical considerations when simulating data from the g‐and‐h family of distributions

Uses Software

• WRS2

Cites Work

• Unnamed Item
• Unnamed Item
• A resistant estimator of multivariate location and dispersion
• Approximation Theorems of Mathematical Statistics
• The two-sample trimmed t for unequal population variances

This page was built for publication: Comparing Measures of Location: Some Small-Sample Results When Distributions Differ in Skewness and Kurtosis Under Heterogeneity of Variances