Pseudo maximum likelihood estimates using ranked set sampling with applications to estimating correlation

DOI10.1007/s11749-008-0096-8zbMath1203.62039OpenAlexW2088177493MaRDI QIDQ619111

Terrence P. Hui, Reza Modarres, Gang Zheng

Publication date: 22 January 2011

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-008-0096-8

zbMATH Keywords

bivariate normal distributionconcomitant variablespseudo maximum likelihood estimator

Mathematics Subject Classification ID

Related Items (4)

Application of RSS design with rank-sum precedence tests for early decision on equality of two distributions ⋮ Precedence tests for equality of two distributions based on early failures of ranked set samples ⋮ Ranked set sampling: its relevance and impact on statistical inference ⋮ Estimation of mean residual life based on ranked set sampling

Cites Work

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• Pseudo maximum likelihood estimation: The asymptotic distribution
• Pseudo maximum likelihood estimation: Theory and applications
• Ranked set sampling. Theory and applications
• A robust estimate of the correlation coefficient for bivariate normal distribution using ranked set sampling
• Ranked Set Sampling Theory with Order Statistics Background
• Inferences on the Correlation Coefficient in Bivariate Normal Populations From Ranked Set Samples
• Concomitants and correlation estimates
• Regression Estimator in Ranked Set Sampling
• Bootstrap confidence interval estimation of mean via ranked set sampling linear regression

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