Nonparametric maximum likelihood estimation of the distribution function using ranked-set sampling

DOI10.1007/s42952-023-00229-0MaRDI QIDQ6204709

Jesse C. Frey, Yi-Min Zhang

Publication date: 2 April 2024

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

zbMATH Keywords

bootstraporder statisticsEM algorithmimperfect rankings

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Resampling methods for ranked set samples
• An omnibus two-sample test for ranked-set sampling data
• Ranked set sampling: its relevance and impact on statistical inference
• On the inadmissibility of empirical averages as estimators in ranked set sampling
• Ranked set sampling: an approach to more efficient data collection
• Judgement Post‐Stratification with Imprecise Rankings
• Distribution-free statistical intervals via ranked-set sampling
• Ranked Set Sampling Theory with Order Statistics Background
• Characterization of a Ranked-Set Sample with Application to Estimating Distribution Functions
• Nonparametric Two-Sample Procedures for Ranked-Set Samples Data
• The Effect of Imperfect Judgment Rankings on Properties of Procedures Based on the Ranked-Set Samples Analog of the Mann-Whitney-Wilcoxon Statistic
• Nonparametric Maximum Likelihood Estimation Based on Ranked Set Samples
• Order Statistics from Discrete Distributions
• A New Ranked Set Sample Estimator of Variance
• Testing perfect rankings in ranked‐set sampling with binary data
• Nonparametric Tests for Perfect Judgment Rankings
• A note on a probability involving independent order statistics

This page was built for publication: Nonparametric maximum likelihood estimation of the distribution function using ranked-set sampling