| 书目名称 | Handbook of Partial Least Squares | | 副标题 | Concepts, Methods an | | 编辑 | Vincenzo Esposito Vinzi,Wynne W. Chin,Huiwen Wang | | 视频video | | | 概述 | Up-to-date review of the PLS methods recently developed and their applications in marketing.Complete and comprehensive overview of the field.Focus both on statistical methodology and selected real wor | | 丛书名称 | Springer Handbooks of Computational Statistics | | 图书封面 |  | | 描述 | Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where “soft models and soft data” were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of “the basic design”. I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear | | 出版日期 | Book 2010 | | 关键词 | Component-based Structural Equation Models; Estimator; Latent Variables; Marketing Research; PLS; Partial | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-32827-8 | | isbn_softcover | 978-3-662-50043-9 | | isbn_ebook | 978-3-540-32827-8Series ISSN 2197-9790 Series E-ISSN 2197-9804 | | issn_series | 2197-9790 | | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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发表于 2025-3-21 17:13:14
