Multivariate Statistical Methods

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Advanced and Multivariate Statistical Methods

Author : Craig A. Mertler
Publisher : Taylor & Francis
ISBN 13 : 1351971670
Total Pages : 391 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Advanced and Multivariate Statistical Methods by : Craig A. Mertler

Download or read book Advanced and Multivariate Statistical Methods written by Craig A. Mertler and published by Taylor & Francis. This book was released on 2016-10-24 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition. All SPSS directions and screenshots have been updated to Version 23 of the software. Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction. Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.

Multivariate Statistical Methods

Author : Donald F. Morrison
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 528 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Multivariate Statistical Methods by : Donald F. Morrison

Download or read book Multivariate Statistical Methods written by Donald F. Morrison and published by McGraw-Hill Companies. This book was released on 1990 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multivariate Statistical Methods

Author : Bryan F.J. Manly
Publisher : CRC Press
ISBN 13 : 9781584884149
Total Pages : 228 pages
Book Rating : 4.8/5 (841 download)

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Book Synopsis Multivariate Statistical Methods by : Bryan F.J. Manly

Download or read book Multivariate Statistical Methods written by Bryan F.J. Manly and published by CRC Press. This book was released on 2004-07-06 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multivariate Statistical Methods

Author : Bryan F.J. Manly
Publisher : CRC Press
ISBN 13 : 1498728995
Total Pages : 227 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Multivariate Statistical Methods by : Bryan F.J. Manly

Download or read book Multivariate Statistical Methods written by Bryan F.J. Manly and published by CRC Press. This book was released on 2016-11-03 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used. The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.

Multivariate Statistical Methods in Behavioral Research

Author : R. Darrell Bock
Publisher : Scientific Software International
ISBN 13 : 9780894980145
Total Pages : 680 pages
Book Rating : 4.9/5 (81 download)

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Book Synopsis Multivariate Statistical Methods in Behavioral Research by : R. Darrell Bock

Download or read book Multivariate Statistical Methods in Behavioral Research written by R. Darrell Bock and published by Scientific Software International. This book was released on 1985 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Methods of Multivariate Analysis

Author : Alvin C. Rencher
Publisher : John Wiley & Sons
ISBN 13 : 0471461725
Total Pages : 739 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Methods of Multivariate Analysis by : Alvin C. Rencher

Download or read book Methods of Multivariate Analysis written by Alvin C. Rencher and published by John Wiley & Sons. This book was released on 2003-04-14 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on: Cluster analysis Multidimensional scaling Correspondence analysis Biplots 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.

Multivariate Statistical Methods

Author : George A. Marcoulides
Publisher : Psychology Press
ISBN 13 : 1317778545
Total Pages : 338 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Multivariate Statistical Methods by : George A. Marcoulides

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 338 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.

Applied Multivariate Statistical Analysis

Author : Wolfgang Karl Härdle
Publisher : Springer
ISBN 13 : 3662451719
Total Pages : 580 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Applied Multivariate Statistical Analysis by : Wolfgang Karl Härdle

Download or read book Applied Multivariate Statistical Analysis written by Wolfgang Karl Härdle and published by Springer. This book was released on 2015-02-26 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Statistical Methods in Quality Management

Author : Kai Yang
Publisher : McGraw Hill Professional
ISBN 13 : 9780071501378
Total Pages : 299 pages
Book Rating : 4.5/5 (13 download)

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Book Synopsis Multivariate Statistical Methods in Quality Management by : Kai Yang

Download or read book Multivariate Statistical Methods in Quality Management written by Kai Yang and published by McGraw Hill Professional. This book was released on 2004-03-17 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods

Introduction to Multivariate Statistical Analysis in Chemometrics

Author : Kurt Varmuza
Publisher : CRC Press
ISBN 13 : 9781420059496
Total Pages : 336 pages
Book Rating : 4.0/5 (594 download)

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Book Synopsis Introduction to Multivariate Statistical Analysis in Chemometrics by : Kurt Varmuza

Download or read book Introduction to Multivariate Statistical Analysis in Chemometrics written by Kurt Varmuza and published by CRC Press. This book was released on 2016-04-19 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multivariate statistical methods

Author : Donald F. Morrison
Publisher :
ISBN 13 :
Total Pages : 469 pages
Book Rating : 4.:/5 (629 download)

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Book Synopsis Multivariate statistical methods by : Donald F. Morrison

Download or read book Multivariate statistical methods written by Donald F. Morrison and published by . This book was released on 2005 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Multivariate Statistical Methods

Author :
Publisher :
ISBN 13 : 9814468835
Total Pages : pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Advances in Multivariate Statistical Methods by :

Download or read book Advances in Multivariate Statistical Methods written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Univariate, Bivariate, and Multivariate Statistics Using R

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1119549930
Total Pages : 384 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Univariate, Bivariate, and Multivariate Statistics Using R by : Daniel J. Denis

Download or read book Univariate, Bivariate, and Multivariate Statistics Using R written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2020-04-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods featured in data analysis and data science. The author— a noted expert in quantitative teaching —has written a quick go-to reference for performing essential statistical analyses and data management tasks in R. Requiring only minimal prior knowledge, the book introduces concepts needed for an immediate yet clear understanding of statistical concepts essential to interpreting software output. The author explores univariate, bivariate, and multivariate statistical methods, as well as select nonparametric tests. Altogether a hands-on manual on the applied statistics and essential R computing capabilities needed to write theses, dissertations, as well as research publications. The book is comprehensive in its coverage of univariate through to multivariate procedures, while serving as a friendly and gentle introduction to R software for the newcomer. This important resource: Offers an introductory, concise guide to the computational tools that are useful for making sense out of data using R statistical software Provides a resource for students and professionals in the social, behavioral, and natural sciences Puts the emphasis on the computational tools used in the discovery of empirical patterns Features a variety of popular statistical analyses and data management tasks that can be immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started quickly performing essential tasks in data analysis and data science Written for students, professionals, and researchers primarily in the social, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis fast, with an emphasis on drawing conclusions from empirical observations. The book can also serve as a primary or secondary textbook for courses in data analysis or data science, or others in which quantitative methods are featured.

Advances in Multivariate Statistical Methods

Author : Ashis Sengupta
Publisher : World Scientific
ISBN 13 : 9812838244
Total Pages : 492 pages
Book Rating : 4.8/5 (128 download)

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Book Synopsis Advances in Multivariate Statistical Methods by : Ashis Sengupta

Download or read book Advances in Multivariate Statistical Methods written by Ashis Sengupta and published by World Scientific. This book was released on 2009 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, etc. Researchers, professionals and advanced graduates will find the book an essential resource for modern developments in theory as well as for innovative and emerging important applications in the area of multivariate statistical methods.

An Introduction to Multivariate Statistical Analysis

Author : Theodore W. Anderson
Publisher :
ISBN 13 :
Total Pages : 720 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis An Introduction to Multivariate Statistical Analysis by : Theodore W. Anderson

Download or read book An Introduction to Multivariate Statistical Analysis written by Theodore W. Anderson and published by . This book was released on 1984-09-28 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Introduction; 2. The multivariate normal distribution; 3. Estimation of the mean vector and the covariance matrix; 4. Distributions and uses of sample correlation coefficients; 5. The generalized T2-Statistic; 6. Classification of observations; 7. The distribution of the sample covariance matrix and the sample generalized variance; 8. Testing the general linear hypothesis; Multivariate analysis of variance; 9. Testing independence of sets of variates; 10. Testing hypothesis of equality of coariance matrices and equality of mean vectors and covariance matrices; 11. Principal components; 12. Canonical correlations and canonical variables; 13. The distributions of characteristic roots and vectors; 14. Factor analysis.

Applied Multivariate Statistical Analysis

Author : Richard Arnold Johnson
Publisher :
ISBN 13 :
Total Pages : 800 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Applied Multivariate Statistical Analysis by : Richard Arnold Johnson

Download or read book Applied Multivariate Statistical Analysis written by Richard Arnold Johnson and published by . This book was released on 2002 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: & This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples. & Offers an abundance of examples and exercises based on real data.& Appropriate for experimental scientists in a variety of disciplines.

Multivariate Analysis for the Biobehavioral and Social Sciences

Author : Bruce L. Brown
Publisher : John Wiley & Sons
ISBN 13 : 1118131614
Total Pages : 404 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Multivariate Analysis for the Biobehavioral and Social Sciences by : Bruce L. Brown

Download or read book Multivariate Analysis for the Biobehavioral and Social Sciences written by Bruce L. Brown and published by John Wiley & Sons. This book was released on 2011-11-01 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: Factor analysis and related methods Multivariate graphics Canonical correlation Hotelling's T-squared Multivariate analysis of variance (MANOVA) Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.