On distribution function estimation with partially rank-ordered set samples: estimating mercury level in fish using length frequency data

DOI10.1080/02331888.2016.1230860zbMath1358.62100OpenAlexW2520626968MaRDI QIDQ2953980

Sahar Nazari, Mahmood Kharrati-Kopaei, Mohammad Jafari Jozani

Publication date: 11 January 2017

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2016.1230860

zbMATH Keywords

kernel functionranked set samplingdistribution function estimationoptimal bandwidthmean integrated square errorfishimperfect subsettingmercury levelpartially rank-ordered set (PROS)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Nonparametric estimation (62G05) Sampling theory, sample surveys (62D05) Characterization and structure theory of statistical distributions (62E10)

Related Items (6)

Empirical distribution function estimators based on sampling designs in a finite population using single auxiliary variable ⋮ Design-based estimators of the distribution function in ranked set sampling with an application ⋮ Uniform k-Tuple Partially Rank-Ordered Set Sampling ⋮ Improved Kaplan-Meier estimator in survival analysis based on partially rank-ordered set samples ⋮ Unnamed Item ⋮ Performances of some goodness-of-fit tests for sampling designs in ranked set sampling

Cites Work

• 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
• Two sample distribution-free inference based on partially rank-ordered set samples
• Nonparametric confidence intervals for quantiles with randomized nomination sampling
• Asymptotic properties of the NPMLE of a distribution function based on ranked set samples
• On the inadmissibility of empirical averages as estimators in ranked set sampling
• Nonparametric density estimation using partially rank-ordered set samples with application in estimating the distribution of wheat yield
• Mixture Model Analysis of Partially Rank‐Ordered Set Samples: Age Groups of Fish from Length‐Frequency Data
• A note on a probability involving independent order statistics
• Some New Estimates for Distribution Functions

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