Mixture Model Analysis of Partially Rank‐Ordered Set Samples: Age Groups of Fish from Length‐Frequency Data

DOI10.1111/SJOS.12140zbMath1360.62514OpenAlexW2115192403MaRDI QIDQ2949881

Armin Hatefi, Omer Ozturk, Mohammad Jafari Jozani

Publication date: 5 October 2015

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

Full work available at URL: https://doi.org/10.1111/sjos.12140

zbMATH Keywords

EM algorithmmaximum likelihood estimationfinite mixture modelranked set samplingimperfect rankingmisplacement probability matrixlength-frequency data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12) Point estimation (62F10)

Related Items (7)

Stratified pair ranked set sampling ⋮ Efficient estimators with categorical ranked set samples: estimation procedures for osteoporosis ⋮ Fisher information in different types of perfect and imperfect ranked set samples from finite mixture models ⋮ On distribution function estimation with partially rank-ordered set samples: estimating mercury level in fish using length frequency data ⋮ Improved Kaplan-Meier estimator in survival analysis based on partially rank-ordered set samples ⋮ Nonparametric density estimation using partially rank-ordered set samples with application in estimating the distribution of wheat yield ⋮ Unnamed Item

Uses Software

• FSA
• Rsolnp

Cites Work

• Unnamed Item
• Quantile inference based on partially rank-ordered set samples
• Two sample distribution-free inference based on partially rank-ordered set samples
• Measuring the relative effectiveness of moment estimators as starting values in maximizing likelihoods
• Ranked set sampling. Theory and applications
• Modified maximum likelihood estimators based on ranked set samples
• Ranked set sampling: an approach to more efficient data collection
• Ranked Set Sampling Theory with Order Statistics Background
• Unbiased estimation of parameters by order statistics in the case of censored samples
• Locally Most Powerful Rank Tests for the Two-sample Problem with Censored Data

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