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1-7 of 7 results for Maximum likelihood classification rule

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Research article

First published 2003-9

Choosing a Better Training Sample for Classifying an Individual into One of Two Correlated Normal Populations

Subhadip Bandyopadhyay, Shibdas Bandyopadhyay

Calcutta Statistical Association Bulletin

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Research article

First published 2021-03-02

A probabilistic modeling approach for interpretable data inference and classification

Shuaiyu Yao, Jian-Bo Yang, Dong-Ling Xu

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2005-3

Classification Based on Multivariate Repeated Measures with Time Effect on Mean Vector and an AR (1) Correlation Structure on the Repeated Measures

Anuradba Roy, Ravindra Khattree

Calcutta Statistical Association Bulletin

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Research article

First published 2002-5

Comparison of Poisson Mixture Models for Count Data Clusterization

Jurgis Sušinskas, Marijus Radavičius

Informatica: An International Journal of Computing and Informatics

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Research article

First published 2015-6

Stochastic Curtailment in Adaptive Mastery Testing

Haskell Sie, Matthew D. Finkelman, Jay Bartroff [...]

Applied Psychological Measurement

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Research article

First published 2011-12

Formulating the Rasch Differential Item Functioning Model Under the Marginal Maximum Likelihood Estimation Context and Its Comparison With Mantel–Haenszel Procedure in Short Test and Small Sample Conditions

Insu Paek, Mark Wilson

Educational and Psychological Measurement

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Research article

First published 2010-8

Enhanced probabilistic neural network with local decision circles: A robust classifier

Mehran Ahmadlou, Hojjat Adeli

Integrated Computer-Aided Engineering