Multivariate Data Analysis
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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
Multivariate Data Analysis
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Author : Joseph Hair
language : en
Publisher: Pearson Higher Ed
Release Date : 2016-08-18
Multivariate Data Analysis written by Joseph Hair and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-18 with Business & Economics categories.
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 graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
Multivariate Data Analysis
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Author : Joseph F. Hair (Jr.)
language : en
Publisher: Pearson
Release Date : 2010
Multivariate Data Analysis written by Joseph F. Hair (Jr.) 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 Business & Economics 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 : JOSEPH. HAIR
language : en
Publisher:
Release Date : 2018-05-22
Multivariate Data Analysis written by JOSEPH. HAIR and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-22 with categories.
Multivariate Data Analysis With Readings
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Author : Joseph F. Hair
language : en
Publisher: Macmillan College
Release Date : 1992
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 1992 with Mathematics categories.
Key terms what is muitivariate analysis, impact of computer revolution and multivariate analysis defined. Multiple regression analysis, multiple discriminant analysis and multivariate analysis of variance. Canonical correlation analysis, factor analysis, cluster analysis, muldidimensional scaling, canjoint analysis, structural equation modeling, a mathematical representation in LISREL, notation. Path analysis: a method of computing structural coefficients. Overall goodness-of Fit measures for structural equation modeling. Application of multivariate data analysis.
Applied Multivariate Data Analysis
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Author : Brian S. Everitt
language : en
Publisher: Wiley
Release Date : 2019-11-04
Applied Multivariate Data Analysis written by Brian S. Everitt and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-04 with Mathematics categories.
Matrix Based Introduction To Multivariate Data Analysis
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Author : Kohei Adachi
language : en
Publisher: Springer Nature
Release Date : 2020-05-20
Matrix Based Introduction To Multivariate Data Analysis written by Kohei Adachi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-20 with Mathematics categories.
This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions. Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis. The book begins by explaining fundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra. Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.
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.
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.
Applied Multivariate Data Analysis
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Author : J.D. Jobson
language : en
Publisher: Springer
Release Date : 1999-02-11
Applied Multivariate Data Analysis written by J.D. Jobson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-02-11 with Mathematics categories.
An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.