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Latent Variable Models and Factor Analysis

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Bartholomew, David J.; Knott, Martin; Moustaki, Irini 作者
譯者
2011-9 出版日期
294 頁數
651.00元 價格
叢書系列
9780470971925 圖書編碼

Latent Variable Models and Factor Analysis 在線電子書 圖書標籤: 多元統計方法  statistics  E   


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Latent Variable Models and Factor Analysis 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Latent Variable Models and Factor Analysis 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Latent Variable Models and Factor Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Latent Variable Models and Factor Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Latent Variable Models and Factor Analysis 在線電子書 圖書描述

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family. Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency. Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples. Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.

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