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Titlebook: Multivariate Statistics; Exercises and Soluti Wolfgang Karl H?rdle,Zdeněk Hlávka Textbook 2015Latest edition Springer-Verlag Berlin Heidelb

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書目名稱Multivariate Statistics
副標(biāo)題Exercises and Soluti
編輯Wolfgang Karl H?rdle,Zdeněk Hlávka
視頻videohttp://file.papertrans.cn/642/641338/641338.mp4
概述Goes further than most similar textbooks by considering SIR techniques that are not found typically in multivariate textbooks.Data sets discussed in the book can be downloaded and analyzed by every st
圖書封面Titlebook: Multivariate Statistics; Exercises and Soluti Wolfgang Karl H?rdle,Zdeněk Hlávka Textbook 2015Latest edition Springer-Verlag Berlin Heidelb
描述.The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All data sets are included in the library SMSdata that may be downloaded via the quantlet download center www.quantlet.org. Data sets are available also via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi..
出版日期Textbook 2015Latest edition
關(guān)鍵詞data analysis; factor analysis; factor model; high dimensional data analysis; multivariate distribution;
版次2
doihttps://doi.org/10.1007/978-3-642-36005-3
isbn_softcover978-3-642-36004-6
isbn_ebook978-3-642-36005-3
copyrightSpringer-Verlag Berlin Heidelberg 2015
The information of publication is updating

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https://doi.org/10.1007/978-3-642-36005-3data analysis; factor analysis; factor model; high dimensional data analysis; multivariate distribution;
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available in the R language. All data sets are included in the library SMSdata that may be downloaded via the quantlet download center www.quantlet.org. Data sets are available also via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi..978-3-642-36004-6978-3-642-36005-3
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