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Test Data Engineering [[electronic resource] ] : Latent Rank Analysis, Biclustering, and Bayesian Network / / by Kojiro Shojima
Test Data Engineering [[electronic resource] ] : Latent Rank Analysis, Biclustering, and Bayesian Network / / by Kojiro Shojima
Autore Shojima Kojiro
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (xxii, 579 pages) : illustrations
Disciplina 519.542
Collana Behaviormetrics: Quantitative Approaches to Human Behavior
Soggetto topico Social sciences - Statistical methods
Statistics
Political planning
Psychometrics
Machine learning
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistical Theory and Methods
Public Policy
Machine Learning
Estadística bayesiana
Anàlisi de conglomerats
Mineria de dades
Tests i proves en educació
Processament de dades
Visualització de la informació
Soggetto genere / forma Llibres electrònics
ISBN 9789811699863
9789811699856
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Concept of Test Data Engineering -- Test Data and Item Analysis -- Classical Test Theory -- Item Response Theory -- Latent Class Analysis -- Biclustering -- Bayesian Network Model.
Record Nr. UNISA-996485661803316
Shojima Kojiro  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Test Data Engineering [[electronic resource] ] : Latent Rank Analysis, Biclustering, and Bayesian Network / / by Kojiro Shojima
Test Data Engineering [[electronic resource] ] : Latent Rank Analysis, Biclustering, and Bayesian Network / / by Kojiro Shojima
Autore Shojima Kojiro
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (xxii, 579 pages) : illustrations
Disciplina 519.542
Collana Behaviormetrics: Quantitative Approaches to Human Behavior
Soggetto topico Social sciences - Statistical methods
Statistics
Political planning
Psychometrics
Machine learning
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistical Theory and Methods
Public Policy
Machine Learning
Estadística bayesiana
Anàlisi de conglomerats
Mineria de dades
Tests i proves en educació
Processament de dades
Visualització de la informació
Soggetto genere / forma Llibres electrònics
ISBN 9789811699863
9789811699856
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Concept of Test Data Engineering -- Test Data and Item Analysis -- Classical Test Theory -- Item Response Theory -- Latent Class Analysis -- Biclustering -- Bayesian Network Model.
Record Nr. UNINA-9910586633203321
Shojima Kojiro  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui