Multivariate Data Analysis
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Multivariate Data Analysis
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Author : Kim H. Esbensen
language : en
Publisher: Multivariate Data Analysis
Release Date : 2002
Multivariate Data Analysis written by Kim H. Esbensen and has been published by Multivariate Data Analysis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Experimental design categories.
"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for Windows 95, Windows NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature."Résumé de l'éditeur.
Multivariate Data Analysis
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Author : Joseph F. Hair
language : en
Publisher: Pearson
Release Date : 2010
Multivariate Data Analysis written by Joseph F. Hair and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Multivariate analysis categories.
Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.
Multi And Megavariate Data Analysis Basic Principles And Applications
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Author : L. Eriksson
language : en
Publisher: Umetrics Academy
Release Date : 2013-07-01
Multi And Megavariate Data Analysis Basic Principles And Applications written by L. Eriksson and has been published by Umetrics Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-01 with Mathematics categories.
To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Authors: The five authors are all connected to the Umetrics company (www.umetrics.com) which has developed and sold software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medium sized companies in the pharmaceutical, biopharm, chemical, and semiconductor sectors.
Making Sense Of Multivariate Data Analysis
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Author : John Spicer
language : en
Publisher: SAGE
Release Date : 2005
Making Sense Of Multivariate Data Analysis written by John Spicer and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.
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 foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.
Multivariate Data Analysis
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Author : Joseph F. Hair (Jr)
language : en
Publisher:
Release Date : 2013
Multivariate Data Analysis written by Joseph F. Hair (Jr) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Multivariate analysis categories.
Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.
Multivariate Data Analysis
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Author : Barbara Bund
language : en
Publisher: McGraw-Hill/Irwin
Release Date : 1983
Multivariate Data Analysis written by Barbara Bund and has been published by McGraw-Hill/Irwin this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Multivariate analysis categories.
Multivariate Data Analysis With Readings
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Author : Joseph F. Hair
language : en
Publisher: Macmillan College
Release Date : 1995
Multivariate Data Analysis With Readings written by Joseph F. Hair and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
Examining your data. Multiple regression analysis. Multiple discriminat analysis. Multivariate analysis of variance. Canonical correlation analysis. Factor analysis. Cluster analysis. Multidimensional scaling. Conjoint analysis. Structural equation modeling.
The Analysis And Interpretation Of Multivariate Data For Social Scientists
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Author : J.I. Galbraith
language : en
Publisher: CRC Press
Release Date : 2002-02-26
The Analysis And Interpretation Of Multivariate Data For Social Scientists written by J.I. Galbraith and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-02-26 with Mathematics categories.
Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples. Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them. Datasets, the SPSS syntax and code used in the examples, and software for performing latent variable modelling are available at http://www.mlwin.com/team/aimdss.html>
Multivariate Data Analysis
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Author : Hair
language : en
Publisher: Pearson Education India
Release Date : 2007-09
Multivariate Data Analysis written by Hair and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09 with Analysis of variance categories.
Essentials Of Multivariate Data Analysis
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Author : Neil H. Spencer
language : en
Publisher: CRC Press
Release Date : 2013-12-17
Essentials Of Multivariate Data Analysis written by Neil H. Spencer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-17 with Mathematics categories.
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