Multivariate Data Analysis

Multivariate Data Analysis PDF
Author: Joseph F. Hair
Publisher: Pearson College Division
ISBN:
Size: 62.17 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 785
View: 4682

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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

Multivariate Data Analysis PDF
Author: Kim H. Esbensen
Publisher: Multivariate Data Analysis
ISBN: 9788299333030
Size: 64.93 MB
Format: PDF, ePub, Docs
Category : Experimental design
Languages : en
Pages : 598
View: 1464

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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 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.

Applied Multivariate Data Analysis

Applied Multivariate Data Analysis PDF
Author: Brian S. Everitt
Publisher: Wiley
ISBN: 9780470711170
Size: 77.60 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 354
View: 3835

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Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure. This intermediate-level textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its 2nd edition, 'Applied Multivariate Data Analysis' has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easy-going style of the first edition, the authors provide clear explanations of each technique, as well as supporting figures and examples, and minimal technical jargon. With extensive exercises following every chapter, 'Applied Multivariate Data Analysis' is a valuable resource for students on applied statistics courses and applied researchers in many disciplines.

Multivariate Data Analysis

Multivariate Data Analysis PDF
Author: Fionn Murtagh
Publisher: Springer
ISBN:
Size: 65.74 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 224
View: 4741

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Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set of general and astronomical bibliographic references follows each chapter, providing valuable entry-points for research workers in all astronomical sub-disciplines. Although the applications considered focus on astronomy, the algorithms used can be applied to similar problems in other branches of science. Fortran programs are provided for many of the methods described.

Matrix Based Introduction To Multivariate Data Analysis

Matrix Based Introduction to Multivariate Data Analysis PDF
Author: Kohei Adachi
Publisher: Springer
ISBN: 9789811095955
Size: 13.28 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 301
View: 5442

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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 the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra. The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.

Multivariate Data Analysis

Multivariate Data Analysis PDF
Author: Joseph F. Hair (Jr)
Publisher:
ISBN: 9781292021904
Size: 46.19 MB
Format: PDF
Category : Multivariate analysis
Languages : en
Pages : 752
View: 6768

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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

Multivariate Data Analysis PDF
Author: Hair
Publisher: Pearson Education India
ISBN: 9788131715284
Size: 44.97 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 924
View: 835

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Applied Multivariate Statistical Analysis

Applied Multivariate Statistical Analysis PDF
Author: Wolfgang Karl Härdle
Publisher: Springer
ISBN: 3662451719
Size: 10.38 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 580
View: 3141

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Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields. All of the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de. The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.

Multivariate Data Analysis

Multivariate Data Analysis PDF
Author: Joseph F. Hair
Publisher: Pearson College Division
ISBN: 9780139133107
Size: 14.43 MB
Format: PDF, Kindle
Category : Science
Languages : en
Pages : 757
View: 194

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Multivariate Statistical Analysis

Multivariate Statistical Analysis PDF
Author: Sam Kash Kachigan
Publisher:
ISBN:
Size: 14.13 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 303
View: 2574

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This classic book provides the much needed conceptual explanations of advanced computer-based multivariate data analysis techniques: correlation and regression analysis, factor analysis, discrimination analysis, cluster analysis, multi-dimensional scaling, perceptual mapping, and more. It closes the gap between spiraling technology and its intelligent application, fulfilling the potential of both.

Multivariate Data Analysis

Multivariate Data Analysis PDF
Author: Barbara B. Jackson
Publisher: Richard d Irwin
ISBN:
Size: 22.54 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 244
View: 1258

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Multi And Megavariate Data Analysis Basic Principles And Applications

Multi  and Megavariate Data Analysis Basic Principles and Applications PDF
Author: L. Eriksson
Publisher: Umetrics Academy
ISBN: 9197373052
Size: 58.39 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 521
View: 1036

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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.

Multivariate Data Analysis Pearson New International Edition Pdf Ebook

Multivariate Data Analysis  Pearson New International Edition PDF eBook PDF
Author: Joseph F. Hair
Publisher: Pearson Higher Ed
ISBN: 1292035110
Size: 13.44 MB
Format: PDF, Kindle
Category : Business & Economics
Languages : en
Pages : 752
View: 7750

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For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The authors provide an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this 7th Edition, the organisation 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. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Exploratory And Multivariate Data Analysis

Exploratory and Multivariate Data Analysis PDF
Author: Michel Jambu
Publisher: Elsevier
ISBN: 0080923674
Size: 50.99 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 432
View: 1141

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With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques. Key Features * Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones * Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples * Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques

Applied Statistics And Multivariate Data Analysis For Business And Economics

Applied Statistics and Multivariate Data Analysis for Business and Economics PDF
Author: Thomas Cleff
Publisher: Springer
ISBN: 303017767X
Size: 28.28 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 474
View: 7614

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This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.