Quantile Estimation Using Ranked Set Samples from a Population with Known Mean

DOI10.1080/03610918.2011.624236zbMath1270.62065OpenAlexW2064878095MaRDI QIDQ3168329

M. Mahdizadeh, N. R. Arghami

Publication date: 30 October 2012

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

Full work available at URL: https://doi.org/10.1080/03610918.2011.624236

zbMATH Keywords

mean-correction

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Sampling theory, sample surveys (62D05)

Related Items (10)

On kernel-based quantile estimation using different stratified sampling schemes with optimal allocation ⋮ On interval estimation of the population mean in ranked set sampling ⋮ On kernel-based estimation of distribution function and its quantiles based on ranked set sampling ⋮ Quantile estimation in modified ranked set sampling methods ⋮ Information theory approach to ranked set sampling and new sub-ratio estimators ⋮ Estimation of the distribution function using moving extreme and MiniMax ranked set sampling ⋮ Logarithmic confidence intervals for the cross-product ratio of binomial proportions under different sampling schemes ⋮ Ranked set sampling: its relevance and impact on statistical inference ⋮ Quartile pair ranked set sampling: development and estimation ⋮ New insights on goodness-of-fit tests for ranked set samples

Cites Work

• On ranked-set sample quantiles and their applications
• On unbiased estimates of the population mean based on the sample stratified by means of ordering
• Efficient Regression Analysis with Ranked-Set Sampling
• Ranked Set Sampling Theory with Order Statistics Background
• A New Ranked Set Sample Estimator of Variance

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