A NONPARAMETRIC TEST OF SYMMETRY VERSUS ASYMMETRY FOR RANKED-SET SAMPLES

DOI10.1081/STA-100106066zbMath0993.62038OpenAlexW2057469520MaRDI QIDQ4541787

Omer Ozturk

Publication date: 28 July 2002

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-100106066

zbMATH Keywords

designmedianmodeHodges-Lehmann estimatorunequal allocationCramer-von Mises distancebootstrap distribution

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Order statistics; empirical distribution functions (62G30)

Related Items (9)

A bootstrap test for symmetry based on ranked set samples ⋮ An optimal bivariate ranked set sample design for the matched pairs sign test ⋮ An optimal sign test for one-sample bivariate location model using an alternative bivariate ranked-set sample ⋮ A nonparametric test of symmetry based on the overlapping coefficient ⋮ On the optimality of bivariate ranked set sample design for the matched pairs sign test ⋮ A Further Study on Reliable Life Estimation under Ranked Set Sampling ⋮ On distribution-free runs test for symmetry using extreme ranked set sampling. With an application involving base deficit score ⋮ Estimation of a symmetric distribution function in multistage ranked set sampling ⋮ Symmetric smoothed bootstrap methods for ranked set samples

Cites Work

• On ranked-set sample quantiles and their applications
• On the inadmissibility of empirical averages as estimators in ranked set sampling
• Tests for symmetry about an unknown value based on the empirical distribution function
• Using the bootstrap in testing symmetry versus asymmetry
• Characterization of a Ranked-Set Sample with Application to Estimating Distribution Functions
• An Asymptotically Distribution-Free Test for Symmetry Versus Asymmetry
• A Test for Asymmetry Associated with the Hodges-Lehmann Estimator
• Testing Symmetry
• A ranked-set sample signed-rank statistic
• One-and two-sample sign tests for ranked set sample selective designs
• Unequal Allocation Models for Ranked Set Sampling with Skew Distributions
• An improved ranked set two‐sample mann‐whitney‐wilcoxon test
• On the Hodges and Lehmann Shift Estimator in the Two Sample Problem
• On Estimation of a Probability Density Function and Mode

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