Principles Of Multivariate Analysis

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Principles of Multivariate Analysis

Author : W. J. Krzanowski
Publisher : Oxford University Press
ISBN 13 : 9780198522300
Total Pages : 563 pages
Book Rating : 4.5/5 (223 download)

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Book Synopsis Principles of Multivariate Analysis by : W. J. Krzanowski

Download or read book Principles of Multivariate Analysis written by W. J. Krzanowski and published by Oxford University Press. This book was released on 1990 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for postgraduate students coming to the subject for the first time. The author's emphasis is problem-oriented; he stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections which are not essential for a practical understanding of technique are clearly indicated so they may be skipped by nonspecialists. The book covers recent developments concerning discrete and mixed variable techniques, as well as continuous variable techniques and other new ideas. This is an up-to-date and very readable account--with a practical emphasis--for research workers in subjects as diverse as anthropology, education, industry, medicine, and taxonomy.

Principles of Multivariate Analysis

Author : Wojtek Krzanowski
Publisher : OUP Oxford
ISBN 13 : 0191053945
Total Pages : 609 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Principles of Multivariate Analysis by : Wojtek Krzanowski

Download or read book Principles of Multivariate Analysis written by Wojtek Krzanowski and published by OUP Oxford. This book was released on 2000-09-28 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for students coming to the subject for the first time. The author's emphasis is problem-orientated and he is at pains to stress geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for a practical understanding of the techniques are clearly indicated so that they may be skipped by the non-specialist. Discrete and mixed variable techniques are presented as well as continuous variable techniques to give a comprehensive coverage of the subject. This updated edition includes a new appendix which traces developments that have taken place in the years since the publication of the first edition and which clarifies some issues raised by readers of the original text. References to about 60 recent books and articles supplement the material in this appendix. Overall, this volume provides an up-to-date and readable practical account of the subject, both for students of statistics and for research workers in subjects as diverse as anthropology, education, industry, medicine and taxonomy. The new edition includes a survey of the most recent developments in the subject.

Multivariate Analysis

Author : W. J. Krzanowski
Publisher : Wiley-Blackwell
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Multivariate Analysis by : W. J. Krzanowski

Download or read book Multivariate Analysis written by W. J. Krzanowski and published by Wiley-Blackwell. This book was released on 1994 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second of a two-part work on multivariate analysis, this volume covers more specialized techniques; topics include discriminant analysis, cluster analysis, path analysis, graphical modelling, latent variable techniques, repeated measures analysis and growth curve models. Modern problems and techniques, such as handling of high dimensional data and the use of neural networks are featured and the book concludes with a discussion of strategic aspects of multivariate analysis.

Principles of Multivariate Analysis

Author : W. J. Krzanowski
Publisher :
ISBN 13 : 9781383021523
Total Pages : 0 pages
Book Rating : 4.0/5 (215 download)

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Book Synopsis Principles of Multivariate Analysis by : W. J. Krzanowski

Download or read book Principles of Multivariate Analysis written by W. J. Krzanowski and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work offers an introduction to the principles and methodology of modern multivariate statistical analysis. Written for the user of multivariate techniques and for students coming to the subject, the author's emphasis is problem-orientated.

The Chicago Guide to Writing about Multivariate Analysis, Second Edition

Author : Jane E. Miller
Publisher : University of Chicago Press
ISBN 13 : 022603819X
Total Pages : 576 pages
Book Rating : 4.2/5 (26 download)

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Book Synopsis The Chicago Guide to Writing about Multivariate Analysis, Second Edition by : Jane E. Miller

Download or read book The Chicago Guide to Writing about Multivariate Analysis, Second Edition written by Jane E. Miller and published by University of Chicago Press. This book was released on 2013-09-26 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.

Multi- and Megavariate Data Analysis Basic Principles and Applications

Author : L. Eriksson
Publisher : Umetrics Academy
ISBN 13 : 9197373052
Total Pages : 509 pages
Book Rating : 4.1/5 (973 download)

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Book Synopsis Multi- and Megavariate Data Analysis Basic Principles and Applications by : L. Eriksson

Download or read book Multi- and Megavariate Data Analysis Basic Principles and Applications written by L. Eriksson and published by Umetrics Academy. This book was released on 2013-07-01 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Exploratory Multivariate Analysis by Example Using R

Author : Francois Husson
Publisher : CRC Press
ISBN 13 : 1315301865
Total Pages : 263 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Exploratory Multivariate Analysis by Example Using R by : Francois Husson

Download or read book Exploratory Multivariate Analysis by Example Using R written by Francois Husson and published by CRC Press. This book was released on 2017-04-25 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) a

Principles of Multivariate Analysis

Author : W. J. Krzanowski
Publisher : Oxford University Press
ISBN 13 : 0198507089
Total Pages : 609 pages
Book Rating : 4.1/5 (985 download)

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Book Synopsis Principles of Multivariate Analysis by : W. J. Krzanowski

Download or read book Principles of Multivariate Analysis written by W. J. Krzanowski and published by Oxford University Press. This book was released on 2000-09-28 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate analysis is necessary whenever more than one characteristic is observed on each individual under study. Applications arise in very many areas of study. This book provides a comprehensive introduction to available techniques for analysing date of this form, written in a style that should appeal to non-specialists as well as to statisticians. In particular, geometric intuition is emphasized in preference to algebraic manipulation wherever possible. The new edition includes a survey of the most recent developments in the subject.

A First Course in Multivariate Statistics

Author : Bernard Flury
Publisher : Springer Science & Business Media
ISBN 13 : 1475727658
Total Pages : 723 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis A First Course in Multivariate Statistics by : Bernard Flury

Download or read book A First Course in Multivariate Statistics written by Bernard Flury and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and self-contained introduction to the field, carefully balancing mathematical theory and practical applications. It starts at an elementary level, developing concepts of multivariate distributions from first principles. After a chapter on the multivariate normal distribution reviewing the classical parametric theory, methods of estimation are explored using the plug-in principles as well as maximum likelihood. Two chapters on discrimination and classification, including logistic regression, form the core of the book, followed by methods of testing hypotheses developed from heuristic principles, likelihood ratio tests and permutation tests. Finally, the powerful self-consistency principle is used to introduce principal components as a method of approximation, rounded off by a chapter on finite mixture analysis.

Multi- and Megavariate Data Analysis

Author :
Publisher :
ISBN 13 :
Total Pages : 425 pages
Book Rating : 4.:/5 (9 download)

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Book Synopsis Multi- and Megavariate Data Analysis by :

Download or read book Multi- and Megavariate Data Analysis written by and published by . This book was released on 2006 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Applied Multivariate Analysis with R

Author : Brian Everitt
Publisher : Springer Science & Business Media
ISBN 13 : 1441996508
Total Pages : 284 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis An Introduction to Applied Multivariate Analysis with R by : Brian Everitt

Download or read book An Introduction to Applied Multivariate Analysis with R written by Brian Everitt and published by Springer Science & Business Media. This book was released on 2011-04-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Multivariate Statistical Analysis

Author : Mukhopadhyay Parimal
Publisher : World Scientific Publishing Company
ISBN 13 : 9813107111
Total Pages : 568 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Multivariate Statistical Analysis by : Mukhopadhyay Parimal

Download or read book Multivariate Statistical Analysis written by Mukhopadhyay Parimal and published by World Scientific Publishing Company. This book was released on 2008-11-25 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents a classical approach to some techniques of multivariate analysis in a simple and transparent manner. It offers clear and concise development of the concepts; interpretation of the output of the analysis; and criteria for selection of the methods, taking into account the strengths and weaknesses of each. With its roots in matrix algebra, for which a separate chapter has been added as an appendix, the book includes both data-oriented techniques and a reasonable coverage of classical methods supplemented by comments about robustness and general practical applicability. It also illustrates the methods of numerical calculations at various stages.This self-contained book is ideal as an advanced textbook for graduate students in statistics and other disciplines like social, biological and physical sciences. It will also be of benefit to professional statisticians.The author is a former Professor of the Indian Statistical Institute, India.

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences

Author : Brian S. Everitt
Publisher : CRC Press
ISBN 13 : 1439807701
Total Pages : 324 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences by : Brian S. Everitt

Download or read book Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences written by Brian S. Everitt and published by CRC Press. This book was released on 2009-09-28 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring

Applied Statistics and Multivariate Data Analysis for Business and Economics

Author : Thomas Cleff
Publisher : Springer
ISBN 13 : 303017767X
Total Pages : 488 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Applied Statistics and Multivariate Data Analysis for Business and Economics by : Thomas Cleff

Download or read book Applied Statistics and Multivariate Data Analysis for Business and Economics written by Thomas Cleff and published by Springer. This book was released on 2019-07-10 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multivariate Analysis of Variance and Repeated Measures

Author : David J. Hand
Publisher : CRC Press
ISBN 13 : 9780412258008
Total Pages : 284 pages
Book Rating : 4.2/5 (58 download)

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Book Synopsis Multivariate Analysis of Variance and Repeated Measures by : David J. Hand

Download or read book Multivariate Analysis of Variance and Repeated Measures written by David J. Hand and published by CRC Press. This book was released on 1987-05-01 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a practical aproach to univariate and multivariate analysis of variance. It starts with a general non-mathematical account of the fundamental theories and this is followed by a discussion of a series of examples using real data sets from the authors' own work in clinical trials, psychology and industry. Included are discussions of factorial and nested designs, structures on the multiple dependent variables measured on each subject, repeated measures analyses, covariates, choice of text statistic and simultaneous test procedures.

Making Sense of Multivariate Data Analysis

Author : John Spicer
Publisher : SAGE
ISBN 13 : 9781412904018
Total Pages : 256 pages
Book Rating : 4.9/5 (4 download)

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Book Synopsis Making Sense of Multivariate Data Analysis by : John Spicer

Download or read book Making Sense of Multivariate Data Analysis written by John Spicer and published by SAGE. This book was released on 2005 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mathematical Tools for Applied Multivariate Analysis

Author : Paul E. Green
Publisher : Academic Press
ISBN 13 : 1483214044
Total Pages : 391 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Mathematical Tools for Applied Multivariate Analysis by : Paul E. Green

Download or read book Mathematical Tools for Applied Multivariate Analysis written by Paul E. Green and published by Academic Press. This book was released on 2014-05-10 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculus that are most relevant for the study of multivariate analysis. This book discusses the mathematical foundations of applied multivariate analysis. Organized into six chapters, this book begins with an overview of the three problems in multiple regression, principal components analysis, and multiple discriminant analysis. This text then presents a standard treatment of the mechanics of matrix algebra, including definitions and operations on matrices, vectors, and determinants. Other chapters consider the topics of eigenstructures and linear transformations that are important to the understanding of multivariate techniques. This book discusses as well the eigenstructures and quadratic forms. The final chapter deals with the geometric aspects of linear transformations. This book is a valuable resource for students.