江島伸興(著)/潜在クラス分析入門
An Introduction to Latent Class Analysis
Methods and Applications
Behaviormetrics: Quantitative Approaches to Human Behavior
Eshima, Nobuoki
- 出版社:Springer
- 出版年月:2022年 05月
- ISBN:9789811909719
- 装丁:HRD
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装丁について
- 言語:ENG
- 巻数・ページ数:260 p.
- 分類: 確率・統計
- DDC分類:310
- 内容紹介:
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New in softcover. Hardcover was published in 2022. This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models.