Essentials of Multivariate Data Analysis

Essentials of Multivariate Data Analysis
Author: Neil H. Spencer
Publisher: CRC Press
Total Pages: 186
Release: 2013-12-17
Genre: Mathematics
ISBN: 1466584793


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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 m


Essentials of Multivariate Data Analysis
Language: en
Pages: 186
Authors: Neil H. Spencer
Categories: Mathematics
Type: BOOK - Published: 2013-12-17 - Publisher: CRC Press

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Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and res
Essentials of Multivariate Data Analysis
Language: en
Pages: 188
Authors: Neil H. Spencer
Categories: Mathematics
Type: BOOK - Published: 2013-12-17 - Publisher: CRC Press

GET EBOOK

Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and res
Making Sense of Multivariate Data Analysis
Language: en
Pages: 256
Authors: John Spicer
Categories: Mathematics
Type: BOOK - Published: 2005 - Publisher: SAGE

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A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the
Multivariate Data Analysis
Language: en
Pages: 622
Authors: Kim H. Esbensen
Categories: Experimental design
Type: BOOK - Published: 2002 - Publisher: Multivariate Data Analysis

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"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to prov
Multivariate Analysis
Language: en
Pages: 614
Authors: Klaus Backhaus
Categories: Business & Economics
Type: BOOK - Published: 2021-10-13 - Publisher: Springer Nature

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Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. Th