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Titlebook: Latent Variable Path Modeling with Partial Least Squares; Jan-Bernd Lohm?ller Book 1989 Springer-Verlag Berlin Heidelberg 1989 Variance.co

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書目名稱Latent Variable Path Modeling with Partial Least Squares
編輯Jan-Bernd Lohm?ller
視頻videohttp://file.papertrans.cn/582/581809/581809.mp4
圖書封面Titlebook: Latent Variable Path Modeling with Partial Least Squares;  Jan-Bernd Lohm?ller Book 1989 Springer-Verlag Berlin Heidelberg 1989 Variance.co
描述Partial Least Squares (PLS) is an estimation method and an algorithm for latent variable path (LVP) models. PLS is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like LISREL, COSAN and EQS. The properties of special cases of PLS (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general PLS technique. The proof of the convergence of the PLS algorithm is extended beyond two-block models. Some 10 computer programs and 100 applications of PLS are referenced. The book gives the statistical underpinning for the computer programs PLS 1.8, which is in use in some 100 university computer centers, and for PLS/PC. It is intended to be the background reference for the users of PLS 1.8, not as textbook or program manual.
出版日期Book 1989
關(guān)鍵詞Variance; correlation; latent variables; modeling; regression
版次1
doihttps://doi.org/10.1007/978-3-642-52512-4
isbn_softcover978-3-642-52514-8
isbn_ebook978-3-642-52512-4
copyrightSpringer-Verlag Berlin Heidelberg 1989
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Mixed Measurement Level Multivariate Data, standard procedures cannot be used for the categorical and the ordinal-scaled variables that are often encountered in the behavioral sciences. This chapter considers the extensions of LVP analysis so as to include categorical variables.
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Predictive vs. Structural Modeling: PLS vs. ML,he beginning his LISREL method was of the utmost elegance and perfection, as regards the deductive properties of the model. The LISREL program has since been gradually improved (LISREL III: J?reskog & van Thillo 1973; LISREL VII: J?reskog & S?rbom 1987), as regards convenience for the user, addition
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Book 1989d 100 applications of PLS are referenced. The book gives the statistical underpinning for the computer programs PLS 1.8, which is in use in some 100 university computer centers, and for PLS/PC. It is intended to be the background reference for the users of PLS 1.8, not as textbook or program manual.
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rograms and 100 applications of PLS are referenced. The book gives the statistical underpinning for the computer programs PLS 1.8, which is in use in some 100 university computer centers, and for PLS/PC. It is intended to be the background reference for the users of PLS 1.8, not as textbook or program manual.978-3-642-52514-8978-3-642-52512-4
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