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Statistical science --- Quantitative methods (economics) --- Economic schools --- Mathematical statistics --- Financial analysis --- Business economics --- statistiek --- economisch denken --- financiële analyse --- econometrie --- statistisch onderzoek
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Most of the observable phenomena in the empirical sciences are of a multivariate nature.In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying theoretical structure of these and many other quantitative studies of applied sciences is multivariate. Focussing on applications this book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who face statistical data analysis. In this second edition a wider scope of methods and applications of multivariate statistical analysis is introduced. All quantlets have been translated into the R and Matlab language and are made available online.
Multivariate analysis --- Analyse multivariée --- Multivariate analysis. --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- 519.2 --- 519.237 --- multivariaat --- wiskundige functies --- wiskundige statistiek --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Probability. Mathematical statistics --- Multivariate statistical methods --- 519.237 Multivariate statistical methods --- 519.2 Probability. Mathematical statistics --- Analyse multivariée --- EPUB-LIV-FT LIVSTATI SPRINGER-B --- Mathematics. --- Economics, Mathematical. --- Probabilities. --- Statistics. --- Economic theory. --- Probability Theory and Stochastic Processes. --- Statistical Theory and Methods. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Quantitative Finance. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Distribution (Probability theory. --- Mathematical statistics. --- Finance. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Funding --- Funds --- Economics --- Currency question --- Economic theory --- Political economy --- Social sciences --- Economic man --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Distribution functions --- Frequency distribution --- Characteristic functions --- Statistics . --- Economics, Mathematical . --- Mathematical economics --- Probability --- Combinations --- Chance --- Least squares --- Risk --- Methodology
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This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics - Exercises and Solutions. The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding data-driven document-based visualization allow readers to reproduce the tables, pictures and calculations presented in this Springer book.
Statistics . --- Economics, Mathematical . --- Economic theory. --- Statistical Theory and Methods. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Quantitative Finance. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Economics --- Mathematical economics --- Econometrics --- Mathematics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Methodology --- Statistics. --- Economics, Mathematical. --- Economics. --- Multivariate analysis