Multivariate Statistics
Exercises and Solutions
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Beschreibung
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 R codes and data sets may be downloaded via the quantlet download center www.quantlet.org or via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.
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.
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 statistical package Contains hundreds of solved exercises
Autor*in
Wolfgang Karl Härdle
Themen in »Multivariate Statistics«
data analysis factor analysis factor model high dimensional data analysis multivariate distribution multivariate statistics principal component quantlets regression models
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“The book basically contains a large number of exercises along with their solutions. … This book is a good source for researchers in the area of multivariate data analysis. It is also a good supplement to an advanced course on the subject. … this book takes a somewhat unique and different approach than a traditional textbook where one usually sees a topic covered in depth followed by a number of examples/exercises.” (Morteza Marzjarani, Technometrics, Vol. 58 (4), April, 2016)
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