Multivariate Data Analysis: Pearson New International Edition

Author: Joseph F. Hair,William C. Black,Barry J. Babin,Rolph E. Anderson

Publisher: Pearson Higher Ed

ISBN: 1292035110

Category: Business & Economics

Page: 752

View: 815

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For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
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Multivariate Data Analysis

Author: Joseph F. Hair (Jr),William C. Black,Barry J. Babin,Rolph E. Anderson

Publisher: N.A

ISBN: 9781292021904

Category: Multivariate analysis

Page: 752

View: 6156

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Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.
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Multivariate data analysis with readings

Author: Joseph F. Hair

Publisher: Pearson College Div

ISBN: 9780023490200

Category: Mathematics

Page: 757

View: 9527

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Ch. 1. Introduction -- Ch. 2. Examining Your Data -- Ch. 3. Multiple Regression Analysis -- Ch. 4. Multiple Discriminant Analysis -- Ch. 5. Multivariate Analysis of Variance -- Ch. 6. Canonical Correlation Analysis -- Ch. 7. Factor Analysis -- Ch. 8. Cluster Analysis -- Ch. 9. Multidimensional Scaling -- Ch. 10. Conjoint Analysis -- Ch. 11. Structural Equation Modeling -- Appendix A: Applications of Multivariate Data Analysis.
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Applied Multivariate Statistical Analysis: Pearson New International Edition

Author: Richard A. Johnson,Dean W. Wichern

Publisher: Pearson Higher Ed

ISBN: 1292037571

Category: Psychology

Page: 776

View: 4538

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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.
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Applied Multivariate Statistical Analysis

Author: Richard A. Johnson,Richard Arnold Johnson,Dean W. Wichern

Publisher: N.A

ISBN: N.A

Category: Analyse multivariée

Page: 642

View: 4814

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Explores the statistical methods for describing and analyzing multivariate data. It's goal is to provide readers with the knowledge necessary to make proper interpretations, and select appropriate techniques for analyzing multivariate data Coverage includes: Detecting Outliers and Data Cleaning; Multivariate Quality Control; Monitoring Quality with Principal Components; and Correspondence Analysis, Biplots, and Procrustes Analysis.
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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition

Author: Robert Ho

Publisher: CRC Press

ISBN: 1439890218

Category: Mathematics

Page: 600

View: 2613

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Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second Edition Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation New section on how to deal with missing data Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity Discussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis, path analysis (test of the mediation hypothesis), and structural equation modeling Suitable for both newcomers and seasoned researchers in the social sciences, the handbook offers a clear guide to selecting the right statistical test, executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods, and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.
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Making Sense of Multivariate Data Analysis

An Intuitive Approach

Author: John Spicer

Publisher: SAGE

ISBN: 9781412904018

Category: Mathematics

Page: 233

View: 449

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′This book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research′ _C. Y. Joanne Peng, Indiana University at Bloomington ′This book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses′ _Jenn-Yun Tein, Arizona State University
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Advances in Multivariate Data Analysis

Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5–6, 2001

Author: Hans-Hermann Bock,Marcello Chiodi,Antonio Mineo

Publisher: Springer Science & Business Media

ISBN: 3642171117

Category: Mathematics

Page: 281

View: 2103

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The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.
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Applied Multivariate Statistical Analysis

Author: Wolfgang Karl Härdle,Léopold Simar

Publisher: Springer

ISBN: 3662451719

Category: Business & Economics

Page: 580

View: 9592

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

A Modern Approach Using SPSS, Stata, and Excel

Author: Thomas Cleff

Publisher: Springer

ISBN: 303017767X

Category: Business & Economics

Page: 474

View: 4832

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