Clustering and estimation of finite mixture models under bivariate ranked set sampling with application to a breast cancer study
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Publication:6549159
DOI10.1007/S00362-023-01411-6zbMATH Open1539.62049MaRDI QIDQ6549159
Farzad Eskandari, H. Aghabozorgi
Publication date: 3 June 2024
Published in: Statistical Papers (Search for Journal in Brave)
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)
Cites Work
- Fisher information in different types of perfect and imperfect ranked set samples from finite mixture models
- High-dimensional semiparametric Gaussian copula graphical models
- A robust estimate of the correlation coefficient for bivariate normal distribution using ranked set sampling
- The nonparanormal: semiparametric estimation of high dimensional undirected graphs
- Mixture Model Analysis of Partially Rank‐Ordered Set Samples: Age Groups of Fish from Length‐Frequency Data
- Inferences on the Correlation Coefficient in Bivariate Normal Populations From Ranked Set Samples
- Theory & Methods: Estimation of bivariate characteristics using ranked set sampling
- Estimation of the Correlation Coefficient Using Bivariate Ranked Set Sampling with Application to the Bivariate Normal Distribution
- Breast Cancer Diagnosis and Prognosis Via Linear Programming
- Finite Mixture Modeling, Classification and Statistical Learning with Order Statistics
- Estimation and classification for finite mixture models under ranked set sampling
- Another look at regression analysis using ranked set samples with application to an osteoporosis study
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