Nonparametric density estimation using partially rank-ordered set samples with application in estimating the distribution of wheat yield

DOI10.1214/14-EJS902zbMath1348.62127arXiv1401.0967OpenAlexW2964266705MaRDI QIDQ2452113

Mohammad Jafari Jozani, Sahar Nazari, Mahmood Kharrati-Kopaei

Publication date: 30 May 2014

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.0967

zbMATH Keywords

kernel functionranked set samplingoptimal bandwidthmean integrated square errornonparametric procedureimperfect subsetting

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Sampling theory, sample surveys (62D05)

Related Items (7)

Notes on kernel density based mode estimation using more efficient sampling designs ⋮ Non parametric PROS quality control chart for monitoring the process mean ⋮ On distribution function estimation with partially rank-ordered set samples: estimating mercury level in fish using length frequency data ⋮ Uniform k-Tuple Partially Rank-Ordered Set Sampling ⋮ Improved Kaplan-Meier estimator in survival analysis based on partially rank-ordered set samples ⋮ Estimation of mean residual life based on ranked set sampling ⋮ Unnamed Item

Uses Software

• KernSmooth
• Rsolnp

Cites Work

• Unnamed Item
• Fisher information in different types of perfect and imperfect ranked set samples from finite mixture models
• Quantile inference based on partially rank-ordered set samples
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• Nonparametric density estimation for stratified samples
• Ranked set sampling. Theory and applications
• Unbiased and almost unbiased ratio estimators of the population mean in ranked set sampling
• Ranked set sampling: an approach to more efficient data collection
• Mixture Model Analysis of Partially Rank‐Ordered Set Samples: Age Groups of Fish from Length‐Frequency Data
• DENSITY ESTIMATION FOR CLUSTERED DATA
• KERNEL ESTIMATORS OF PROBABILITY DENSITY FUNCTIONS BY RANKED-SET SAMPLING
• Selecting the amount of smoothing in nonparametric regression estimation for complex surveys
• Nonparametric Two-Sample Methods for Ranked-Set Sample Data

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