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
Multivariate Data Analysis
Language: en
Pages: 816
Authors: Joseph Hair
Categories: Business & Economics
Type: BOOK - Published: 2016-08-18 - Publisher: Pearson Higher Ed

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For
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
Matrix-Based Introduction to Multivariate Data Analysis
Language: en
Pages: 298
Authors: Kohei Adachi
Categories: Mathematics
Type: BOOK - Published: 2016-10-11 - Publisher: Springer

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This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of
Multivariate Data Analysis on Matrix Manifolds
Language: en
Pages: 467
Authors: Nickolay Trendafilov
Categories: Mathematics
Type: BOOK - Published: 2021-09-15 - Publisher: Springer Nature

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This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike s