Nonparametric estimation of the entropy using a ranked set sample

DOI10.1080/03610918.2016.1208229zbMath1391.94583arXiv1501.06117OpenAlexW2962927942MaRDI QIDQ4607331

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Publication date: 13 March 2018

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

Full work available at URL: https://arxiv.org/abs/1501.06117

zbMATH Keywords

kernel density estimationoptimal bandwidth selectionmulti-stage ranked set samplingnonlinear dependency

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05) Measures of information, entropy (94A17)

Related Items (3)

Quantile estimation in modified ranked set sampling methods ⋮ Logarithmic confidence intervals for the cross-product ratio of binomial proportions under different sampling schemes ⋮ Memory type ratio and product estimators under ranked-based sampling schemes

Cites Work

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• Double-ranked set sampling
• Multistage ranked set sampling
• Ranked Set Sampling Theory with Order Statistics Background
• Efficiency of ranked set sampling in entropy estimation and goodness-of-fit testing for the inverse Gaussian law
• Characterization of a Ranked-Set Sample with Application to Estimating Distribution Functions
• Estimation of Variance Using Judgment Ordered Ranked Set Samples
• Regression Estimator in Ranked Set Sampling

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