Book Title : Basic Statistics in Multivariate Analysis

basic statistics in multivariate analysis

Release Date : 2013-03-07
ISBN Code : 9780199764044
Book Author : Karen A. Randolph
Book Publisher : Oxford University Press
Total Pages : 213

Book Summary :

This pocket guide introduces readers to linear regression analysis, analysis of variance and covariance, and path analysis with an emphasis on the basic statistics. It prepares doctoral students and early career social work researchers with limited statistics exposure in the use of multivariate methods by providing an easy-to-understand presentation.

Book Title : An Introduction to Multivariate Statistical Analysis

an introduction to multivariate statistical analysis

Release Date : 2003-07-25
ISBN Code : 0471360910
Book Author : T. W. Anderson
Book Publisher : Wiley-Interscience
Total Pages : 752

Book Summary :

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.

Book Title : Methods of Multivariate Analysis Basic Applications

methods of multivariate analysis basic applications

Release Date : 1995-02-20
ISBN Code : UOM:39015034024615
Book Author : Alvin C. Rencher
Book Publisher : Wiley-Interscience
Total Pages : 648

Book Summary :

Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. "Methods of Multivariate Analysis" provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.

Book Title : Applied Multivariate Statistical Analysis Pearson New International Edition

applied multivariate statistical analysis pearson new international edition

Release Date : 2013-08-29
ISBN Code : 9781292037578
Book Author : Richard A. Johnson
Book Publisher : Pearson Higher Ed
Total Pages : 776

Book Summary :

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.

Book Title : Applied Multivariate Analysis

applied multivariate analysis

Release Date : 2007-06-21
ISBN Code : 9780387227719
Book Author : Neil H. Timm
Book Publisher : Springer Science & Business Media
Total Pages : 695

Book Summary :

This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.

Book Title : Multivariate Statistics

multivariate statistics

Release Date : 2011-08-15
ISBN Code : 9780470539866
Book Author : Yasunori Fujikoshi
Book Publisher : John Wiley & Sons
Total Pages : 512

Book Summary :

A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided. Statistical methods for high-dimensional data, such as curve data, spectra, images, and DNA microarrays, are discussed. Bootstrap approximations from a methodological point of view, theoretical accuracies in MANOVA tests, and model selection criteria are also presented. Subsequent chapters feature additional topical coverage including: High-dimensional approximations of various statistics High-dimensional statistical methods Approximations with computable error bound Selection of variables based on model selection approach Statistics with error bounds and their appearance in discriminant analysis, growth curve models, generalized linear models, profile analysis, and multiple comparison Each chapter provides real-world applications and thorough analyses of the real data. In addition, approximation formulas found throughout the book are a useful tool for both practical and theoretical statisticians, and basic results on exact distributions in multivariate analysis are included in a comprehensive, yet accessible, format. Multivariate Statistics is an excellent book for courses on probability theory in statistics at the graduate level. It is also an essential reference for both practical and theoretical statisticians who are interested in multivariate analysis and who would benefit from learning the applications of analytical probabilistic methods in statistics.

Book Title : JMP for Basic Univariate and Multivariate Statistics

jmp for basic univariate and multivariate statistics

Release Date : 2013
ISBN Code : 9781612906034
Book Author : Ann Lehman
Book Publisher : SAS Institute
Total Pages : 558

Book Summary :

Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition. Updated for JMP 10 and including new features on the statistical platforms, this book offers clearly written instructions to guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results clearly in a way that is suitable for publication, perform a wide range of JMP analyses, interpret the results, and more. Topics include screening data for errors selecting subsets computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale performing bivariate analyses for all types of variables performing a one-way analysis of variance (ANOVA), multiple regression, and a one-way multivariate analysis of variance (MANOVA) Advanced topics include analyzing models with interactions and repeated measures. There is also comprehensive coverage of principle components with emphasis on graphical interpretation. This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.

Book Title : A Course on Statistics for Finance

a course on statistics for finance

Release Date : 2016-04-08
ISBN Code : 9781498785679
Book Author : Stanley L. Sclove
Book Publisher : CRC Press
Total Pages : 269

Book Summary :

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

Book Title : Methods of Multivariate Analysis

methods of multivariate analysis

Release Date : 2012-08-15
ISBN Code : 9781118391679
Book Author : Alvin C. Rencher
Book Publisher : John Wiley & Sons
Total Pages : 800

Book Summary :

Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere." —IIE Transactions Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. This Third Edition continues to explore the key descriptive and inferential procedures that result from multivariate analysis. Following a brief overview of the topic, the book goes on to review the fundamentals of matrix algebra, sampling from multivariate populations, and the extension of common univariate statistical procedures (including t-tests, analysis of variance, and multiple regression) to analogous multivariate techniques that involve several dependent variables. The latter half of the book describes statistical tools that are uniquely multivariate in nature, including procedures for discriminating among groups, characterizing low-dimensional latent structure in high-dimensional data, identifying clusters in data, and graphically illustrating relationships in low-dimensional space. In addition, the authors explore a wealth of newly added topics, including: Confirmatory Factor Analysis Classification Trees Dynamic Graphics Transformations to Normality Prediction for Multivariate Multiple Regression Kronecker Products and Vec Notation New exercises have been added throughout the book, allowing readers to test their comprehension of the presented material. Detailed appendices provide partial solutions as well as supplemental tables, and an accompanying FTP site features the book's data sets and related SAS® code. Requiring only a basic background in statistics, Methods of Multivariate Analysis, Third Edition is an excellent book for courses on multivariate analysis and applied statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for both statisticians and researchers across a wide variety of disciplines.

Book Title : Applied Multivariate Analysis

applied multivariate analysis

Release Date : 2012-09-05
ISBN Code : 9780486139388
Book Author : S. James Press
Book Publisher : Courier Corporation
Total Pages : 692

Book Summary :

This two-part treatment deals with foundations as well as models and applications. Topics include continuous multivariate distributions; regression and analysis of variance; factor analysis and latent structure analysis; and structuring multivariate populations. 1982 edition.

Book Title : Multivariate Statistical Methods

multivariate statistical methods

Release Date : 2014-01-14
ISBN Code : 9781317778554
Book Author : George A. Marcoulides
Book Publisher : Psychology Press
Total Pages : 334

Book Summary :

This text presents multivariate statistical methods, accompanied by examples relevant to students in marketing and business concentrations, making extensive use of the SAS package of statistical programs.

Book Title : Applied Statistics From Bivariate Through Multivariate Techniques

applied statistics from bivariate through multivariate techniques

Release Date : 2012-04-10
ISBN Code : 9781412991346
Book Author : Rebecca M. Warner
Book Publisher : SAGE
Total Pages : 1172

Book Summary :

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.

Book Title : Multivariate Statistical Methods

multivariate statistical methods

Release Date : 2004-07-06
ISBN Code : 1584884142
Book Author : Bryan F.J. Manly
Book Publisher : CRC Press
Total Pages : 224

Book Summary :

Multivariate methods are now widely used in the quantitative sciences as well as in statistics because of the ready availability of computer packages for performing the calculations. While access to suitable computer software is essential to using multivariate methods, using the software still requires a working knowledge of these methods and how they can be used. Multivariate Statistical Methods: A Primer, Third Edition introduces these methods and provides a general overview of the techniques without overwhelming you with comprehensive details. This thoroughly revised, updated edition of a best-selling introductory text retains the author's trademark clear, concise style but includes a range of new material, new exercises, and supporting materials on the Web. New in the Third Edition: Fully updated references Additional examples and exercises from the social and environmental sciences A comparison of the various statistical software packages, including Stata, Statistica, SAS Minitab, and Genstat, particularly in terms of their ease of use by beginners In his efforts to produce a book that is as short as possible and that enables you to begin to use multivariate methods in an intelligent manner, the author has produced a succinct and handy reference. With updated information on multivariate analyses, new examples using the latest software, and updated references, this book provides a timely introduction to useful tools for statistical analysis.

Book Title : Introduction to Multivariate Statistical Analysis in Chemometrics

introduction to multivariate statistical analysis in chemometrics

Release Date : 2016-04-19
ISBN Code : 1420059491
Book Author : Kurt Varmuza
Book Publisher : CRC Press
Total Pages : 336

Book Summary :

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as principal component analysis, regression analysis, classification methods, and clustering. Written by a chemometrician and a statistician, the book reflects the practical approach of chemometrics and the more formally oriented one of statistics. To enable a better understanding of the statistical methods, the authors apply them to real data examples from chemistry. They also examine results of the different methods, comparing traditional approaches with their robust counterparts. In addition, the authors use the freely available R package to implement methods, encouraging readers to go through the examples and adapt the procedures to their own problems. Focusing on the practicality of the methods and the validity of the results, this book offers concise mathematical descriptions of many multivariate methods and employs graphical schemes to visualize key concepts. It effectively imparts a basic understanding of how to apply statistical methods to multivariate scientific data.

Book Title : Applied Multivariate Statistical Analysis

applied multivariate statistical analysis

Release Date : 2015-02-26
ISBN Code : 9783662451717
Book Author : Wolfgang Karl Härdle
Book Publisher : Springer
Total Pages : 580

Book Summary :

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.

Book Title : Multivariate Analysis with LISREL

multivariate analysis with lisrel

Release Date : 2016-10-17
ISBN Code : 9783319331539
Book Author : Karl G. Jöreskog
Book Publisher : Springer
Total Pages : 557

Book Summary :

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.

Book Title : The Essence of Multivariate Thinking

the essence of multivariate thinking

Release Date : 2014-02-18
ISBN Code : 9781317859796
Book Author : Lisa L. Harlow
Book Publisher : Routledge
Total Pages : 432

Book Summary :

By focusing on underlying themes, this book helps readers better understand the connections between multivariate methods. For each method the author highlights: the similarities and differences between the methods, when they are used and the questions they address, the key assumptions and equations, and how to interpret the results. The concepts take center stage while formulas are kept to a minimum. Examples using the same data set give readers continuity so they can more easily apply the concepts. Each method is also accompanied by a worked out example, SPSS and SAS input, and an example of how to write up the results. EQS code is used for the book’s SEM applications. This extensively revised edition features: New SEM chapters including an introduction (ch.10), path analysis (ch.11), confirmatory factor analysis (ch.12), and latent variable modeling (ch.13) the last three with an EQS application. A new chapter on multilevel modeling (ch. 8) that is now used more frequently in the social sciences. More emphasis on significance tests, effect sizes, and confidence intervals to encourage readers to adopt a thorough approach to assessing the magnitude of their findings. A new data set that explores the work environment. More discussion about the basic assumptions and equations for each method for a more accessible approach. New examples that help clarify the distinctions between methods. A new website at http://sites.google.com/site/multivariatesecondedition/ that features the datasets for all of the examples in the book for use in both SPSS and SAS and in EQS for the SEM chapters. The first two chapters review the core themes that run through most multivariate methods. The author shows how understanding multivariate methods is much more achievable when we notice the themes that underlie these statistical techniques. This multiple level approach also provides greater reliability and validity in our research. After providing insight into the core themes, the author illustrates them as they apply to the most popular multivariate methods used in the social, and behavioral sciences. First, two intermediate methods are explored – multiple regression and analysis of covariance. Next the multivariate grouping variable methods of multivariate analysis of variance, discriminant function analysis, and logistic regression are explored. Next the themes are applied to multivariate modeling methods including multilevel modeling, path analysis, confirmatory factor analysis, and latent variable models that include exploratory structural methods of principal component and factor analysis. The book concludes with a summary of the common themes and how they pertain to each method discussed in this book. Intended for advanced undergraduate and/or graduate courses in multivariate statistics taught in psychology, education, human development, business, nursing, and other social and life sciences, researchers also appreciate this book‘s applied approach. Knowledge of basic statistics, research methods, basic algebra, and finite mathematics is recommended.

Book Title : Multivariate statistical analysis

multivariate statistical analysis

Release Date : 1996-01-16
ISBN Code : 0824793382
Book Author : Narayan C. Giri
Book Publisher : CRC
Total Pages : 378

Book Summary :

Vector and matrix algebra; Groups and Jacobian of some transformations; Multivariate distributions and Invariance; Properties of multivariate distributions; Estimators of parameters and their functions; Basic multivariate sampling distributions; Tests of hypotheses of mean vectors; Tests concerning covariance matrices and mean vectors; Discriminant analysis; Principal components; Canonical correlations; Factor analysis.

Book Title : An R and S Plus Companion to Multivariate Analysis

an r and s plus companion to multivariate analysis

Release Date : 2006-03-30
ISBN Code : 9781846281242
Book Author : Brian S. Everitt
Book Publisher : Springer Science & Business Media
Total Pages : 221

Book Summary :

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.

Book Title : Multivariate Statistical Analysis

multivariate statistical analysis

Release Date : 2009
ISBN Code : 9789812791757
Book Author : Parimal Mukhopadhyay
Book Publisher : World Scientific
Total Pages : 549

Book Summary :

"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." "This 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." --Book Jacket.

Book Title : Recent Advances in Descriptive Multivariate Analysis

recent advances in descriptive multivariate analysis

Release Date : 1995
ISBN Code : 9780198522850
Book Author : W. J. Krzanowski
Book Publisher : Oxford University Press
Total Pages : 362

Book Summary :

This is a state-of-the-art summary of a wide range of topics within the field of descriptive multivariate analysis. Each chapter is written by an acknowledged authority in the field and provides a readable, comprehensive coverage of the topic for the practising statistician.