서지주요정보
Test Data Engineering Latent Rank Analysis, Biclustering, and Bayesian Network / [electronic resource]
서명 / 저자 Test Data Engineering [electronic resource] : Latent Rank Analysis, Biclustering, and Bayesian Network / by Kojiro Shojima.
판사항 1st ed. 2022.
발행사항 Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
총서명 Behaviormetrics: Quantitative Approaches to Human Behavior, 2524-4035 ; 13
Online Access https://doi.org/10.1007/978-981-16-9986-3URL

서지기타정보

서지기타정보
청구기호 HA1-4737
형태사항 XXII, 579 p. 242 illus., 216 illus. in color. online resource.
언어 English
내용 Concept of Test Data Engineering -- Test Data and Item Analysis -- Classical Test Theory -- Item Response Theory -- Latent Class Analysis -- Biclustering -- Bayesian Network Model.
주제 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.
Psychometrics.
Machine Learning.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9789811699856 Printed edition: 9789811699870 Printed edition: 9789811699887
ISBN 9789811699863
기타 표준번호 10.1007/978-981-16-9986-3
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