An Introduction to Latent Class Analysis : Methods and Applications / Nobuoki Eshima

• Autore: Eshima, Nobuoki
• Pubblicazione: Singapore, : Springer, 2022
• Descrizione fisica: xi, 190 p. : ill. ; 24 cm
• Soggetto topico: 00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]; 62Hxx - Multivariate analysis [MSC 2020]; 62J12 - Generalized linear models (logistic models) [MSC 2020]; 62P15 - Applications of statistics to psychology [MSC 2020]
• Soggetto non controllato: Analysis of Learning Structures; Confirmatory Latent Class Models; Entropy-based Approach for Assessing Latent Class Models; Entropy-based Path Analysis; Exploratory Latent Class Analysis; Latent Markov Models
• Titolo autorizzato: Introduction to Latent Class Analysis
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00278296
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-981-19-0972-6
• Serie: Behaviormetrics: Quantitative Approaches to Human Behavior Singapore [etc.] . -Springer , 2020- ; 14