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Titlebook: Recent Developments on Structural Equation Models; Theory and Applicati Kees Montfort,Johan Oud,Albert Satorra Book 2004 Springer Science+B

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書(shū)目名稱Recent Developments on Structural Equation Models
副標(biāo)題Theory and Applicati
編輯Kees Montfort,Johan Oud,Albert Satorra
視頻videohttp://file.papertrans.cn/824/823260/823260.mp4
概述Presents important new developments and interesting applications
叢書(shū)名稱Mathematical Modelling: Theory and Applications
圖書(shū)封面Titlebook: Recent Developments on Structural Equation Models; Theory and Applicati Kees Montfort,Johan Oud,Albert Satorra Book 2004 Springer Science+B
描述After Karl J?reskog‘s first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science. It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, education, psychology, economics, management and medical sciences. In addition to an extension of its application area, Structural Equation Modelling also features a continual renewal and extension of its theoretical background. The sixteen contributions to this book, written by experts from many countries, present important new developments and interesting applications in Structural Equation Modelling. The book addresses methodologists and statisticians professionally dealing with Structural Equation Modelling to enhance their knowledge of the type of models covered and the technical problems involved in their formulation. In addition, the book offers applied researchers new ideas about the use of Structural Equation Modeling in solving their problems. Finally, methodologists, mathematicians and applied researchers alike are addressed, who simply want to update their knowledge of recent approaches in data analysis and mathematical
出版日期Book 2004
關(guān)鍵詞LDA; calculus; data analysis; modeling; psychology; structural equation modeling
版次1
doihttps://doi.org/10.1007/978-1-4020-1958-6
isbn_softcover978-90-481-6549-0
isbn_ebook978-1-4020-1958-6Series ISSN 1386-2960
issn_series 1386-2960
copyrightSpringer Science+Business Media Dordrecht 2004
The information of publication is updating

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978-90-481-6549-0Springer Science+Business Media Dordrecht 2004
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Mathematical Modelling: Theory and Applicationshttp://image.papertrans.cn/r/image/823260.jpg
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https://doi.org/10.1007/978-1-4020-1958-6LDA; calculus; data analysis; modeling; psychology; structural equation modeling
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Statistical Power in PATH Models for Small Sample Sizesl. However, these tests are based on statistical assumptions, like the normality distribution of the variables and/or large samples, which are not very realistic. We propose to use a test based on the so-called parametric bootstrap method as a means for selection of a model. This means that we will
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SEM State Space Modeling of Panel Data in Discrete and Continuous Time and its Relationship to Tradin & Deistler, 1988; Polderman & Willems, 1998) from the classical theory. Its application field, starting from space technology in the 1960s, has extended considerably since (Shumway & Stoffer, 2000). The state space model covers an extremely general class of dynamic models. In fact, all nonanticipa
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