<p>Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and
Applied multivariate analysis
✍ Scribed by Neil H. Timm
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Leaves
- 718
- Series
- Springer Texts in Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Subjects
Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;
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This is probably the best applied statistics book I have ever read. It is not one of the "for dummies" book, it does use some linear algebra and requires some knowledge of elementary statistics, but at the same time it is very clear and understandable. I think this is the only reasonable approach -
With a wealth of examples and exercises, this is a brand new edition of a classic work on multivariate data analysis. A key advantage of the work is its accessibility. This is because, in its focus on applications, the book presents the tools and concepts of multivariate data analysis in a way that
<p>Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets are observed simultaneously and their joint development is analysed to better understand general risk and to track indices. In medicine recorded observations of subjects in differ