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e-book

The Geometry of Multivariate Statistics (Cód: 9699075)

Wickens, Thomas D.

Taylor & Francis Ltd (Livros Digitais)

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The Geometry of Multivariate Statistics

R$164,85

Descrição

A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done by a package of computer programs that somebody else has written. An approach from this perspective emphasizes how the computer packages are used, and is usually coupled with rules that allow one to extract the most important numbers from the output and interpret them. Useful as both approaches are--particularly when combined--they can overlook an important aspect of multivariate analysis. To apply it correctly, one needs a way to conceptualize the multivariate relationships that exist among variables.

This book is designed to help the reader develop a way of thinking about multivariate statistics, as well as to understand in a broader and more intuitive sense what the procedures do and how their results are interpreted. Presenting important procedures of multivariate statistical theory geometrically, the author hopes that this emphasis on the geometry will give the reader a coherent picture into which all the multivariate techniques fit.

Características

Peso 0.00 Kg
Produto sob encomenda Sim
Marca Taylor & Francis Ltd (Livros Digitais)
Número de Páginas 176 (aproximado)
Idioma 337
Acabamento e-book
Territorialidade Internacional
Formato Livro Digital Epub
Gratuito Não
Proteção Drm Sim
Tamanho do Arquivo 4211
Início da Venda 25/02/2014
Código do Formato Epub
Cód. Barras 9781317780229
Ano da Publicação 114
AutorWickens, Thomas D.