Essentials of Multivariate Data Analysis - Tapa blanda

Spencer, Neil H.

 
9781466584785: Essentials of Multivariate Data Analysis
Tapa blanda
ISBN 10: 1466584785 ISBN 13: 9781466584785
Editorial: Routledge, 2014

Sinopsis

Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and researchers without a substantial background in statistics or mathematics, Essentials of Multivariate Data Analysis explains the usefulness of multivariate methods in applied research.

Unlike most books on multivariate methods, this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. An easily understood dataset is used throughout to illustrate the techniques. The accompanying add-in for Microsoft Excel® can be used to carry out the analyses in the text. The dataset and Excel add-in are available for download on the book’s CRC Press web page.

Providing a firm foundation in the most commonly used multivariate techniques, this text helps readers choose the appropriate method, learn how to apply it, and understand how to interpret the results. It prepares them for more complex analyses using software such as Minitab®, R, SAS, SPSS, and Stata.

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Acerca del autor

Dr. Neil H. Spencer is a reader in applied statistics and director of the Statistical Services and Consultancy Unit at the University of Hertfordshire. His research interests include multilevel models, multivariate methods, statistical computing, multiple testing, and testing for randomness.

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Editorial
Routledge
Año de publicación
2014
Idioma
Inglés
ISBN 10 
1466584785
ISBN 13 
9781466584785
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
192
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9781138462434: Essentials of Multivariate Data Analysis

Edición Destacada

ISBN 10:  1138462438 ISBN 13:  9781138462434
Editorial: Chapman and Hall/CRC, 2017
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