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Author : Wolfgang Karl Härdle
Publisher : Springer Nature
ISBN 13 : 3031638336
Total Pages : 611 pages
Book Rating : 4.0/5 (316 download)
Download or read book Applied Multivariate Statistical Analysis written by Wolfgang Karl Härdle and published by Springer Nature. This book was released on with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Brian Everitt
Publisher : Springer Science & Business Media
ISBN 13 : 1441996508
Total Pages : 284 pages
Book Rating : 4.4/5 (419 download)
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.
Author : Richard J. Harris
Publisher : Psychology Press
ISBN 13 : 1135555435
Total Pages : 632 pages
Book Rating : 4.1/5 (355 download)
Download or read book A Primer of Multivariate Statistics written by Richard J. Harris and published by Psychology Press. This book was released on 2001-05-01 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.
Author : Francois Husson
Publisher : CRC Press
ISBN 13 : 1315301865
Total Pages : 263 pages
Book Rating : 4.3/5 (153 download)
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
Author : Alan J. Izenman
Publisher : Springer Science & Business Media
ISBN 13 : 0387781897
Total Pages : 757 pages
Book Rating : 4.3/5 (877 download)
Download or read book Modern Multivariate Statistical Techniques written by Alan J. Izenman and published by Springer Science & Business Media. This book was released on 2009-03-02 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.
Author : Wolfgang Härdle
Publisher : Springer Science & Business Media
ISBN 13 : 0387707840
Total Pages : 367 pages
Book Rating : 4.3/5 (877 download)
Download or read book Multivariate Statistics: written by Wolfgang Härdle and published by Springer Science & Business Media. This book was released on 2007-07-27 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three sections, this book has been structured to allow students in economics and finance to work their way through a well formulated exploration of this core topic. The first part of this book is devoted to graphical techniques. The second deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The final section contains a wide variety of exercises in applied multivariate data analysis.
Author : Karl G. Jöreskog
Publisher : Springer
ISBN 13 : 3319331531
Total Pages : 561 pages
Book Rating : 4.3/5 (193 download)
Download or read book Multivariate Analysis with LISREL written by Karl G. Jöreskog and published by Springer. This book was released on 2016-10-17 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.
Author : Thomas Cleff
Publisher : Springer
ISBN 13 : 303017767X
Total Pages : 488 pages
Book Rating : 4.0/5 (31 download)
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.
Author : Martin Bilodeau
Publisher : Springer Science & Business Media
ISBN 13 : 0387226168
Total Pages : 304 pages
Book Rating : 4.3/5 (872 download)
Download or read book Theory of Multivariate Statistics written by Martin Bilodeau and published by Springer Science & Business Media. This book was released on 2008-01-20 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this text discusses, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, such as robust inference and the use of the bootstrap in a multivariate setting. A minimum background expected of the reader would include at least two courses in mathematical statistics, and certainly some exposure to the calculus of several variables together with the descriptive geometry of linear algebra.
Author : L. Eriksson
Publisher : Umetrics Academy
ISBN 13 : 9197373052
Total Pages : 509 pages
Book Rating : 4.1/5 (973 download)
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.
Author : T. W. Anderson
Publisher : Wiley-Interscience
ISBN 13 : 9780471360919
Total Pages : 721 pages
Book Rating : 4.3/5 (69 download)
Download or read book An Introduction to Multivariate Statistical Analysis written by T. W. Anderson and published by Wiley-Interscience. This book was released on 2003-07-25 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfected over three editions and more than forty years, this field- and classroom-tested reference: * Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. * Treats all the basic and important topics in multivariate statistics. * Adds two new chapters, along with a number of new sections. * Provides the most methodical, up-to-date information on MV statistics available.
Author : George A. Marcoulides
Publisher : Psychology Press
ISBN 13 : 1317778553
Total Pages : 335 pages
Book Rating : 4.3/5 (177 download)
Download or read book Multivariate Statistical Methods written by George A. Marcoulides and published by Psychology Press. This book was released on 2014-01-14 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples--drawing on SAS software --are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis. Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.
Author : Rebecca M. Warner
Publisher : SAGE
ISBN 13 : 141299134X
Total Pages : 1209 pages
Book Rating : 4.4/5 (129 download)
Download or read book Applied Statistics: From Bivariate Through Multivariate Techniques written by Rebecca M. Warner and published by SAGE. This book was released on 2013 with total page 1209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
Author : Ludovic Lebart
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 266 pages
Book Rating : 4.:/5 (319 download)
Download or read book Multivariate Descriptive Statistical Analysis written by Ludovic Lebart and published by John Wiley & Sons. This book was released on 1984 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Barbara G. Tabachnick
Publisher :
ISBN 13 : 9781292021317
Total Pages : 1060 pages
Book Rating : 4.0/5 (213 download)
Download or read book Using Multivariate Statistics written by Barbara G. Tabachnick and published by . This book was released on 2013 with total page 1060 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
Author : Lawrence S. Meyers
Publisher : SAGE Publications
ISBN 13 : 1506329780
Total Pages : 938 pages
Book Rating : 4.5/5 (63 download)
Download or read book Applied Multivariate Research written by Lawrence S. Meyers and published by SAGE Publications. This book was released on 2016-10-28 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.
Author : Regina Y. Liu
Publisher : American Mathematical Soc.
ISBN 13 : 0821835963
Total Pages : 264 pages
Book Rating : 4.8/5 (218 download)
Download or read book Data Depth written by Regina Y. Liu and published by American Mathematical Soc.. This book was released on 2006 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of some of the research presented at the workshop of the same name held in May 2003 at Rutgers University. The workshop brought together researchers from two different communities: statisticians and specialists in computational geometry. The main idea unifying these two research areas turned out to be the notion of data depth, which is an important notion both in statistics and in the study of efficiency of algorithms used in computational geometry. Many of the articles in the book lay down the foundations for further collaboration and interdisciplinary research. Information for our distributors: Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with the Association for Computer Machinery (ACM).
