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analysis may be undertaken. Now in its 2nd edition, 'Applied Multivariate Data Analysis' has been fully expanded and updated, including major;
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applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;
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applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;
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An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into;
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, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis;
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This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both;
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various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates;
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apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as;
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offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to;
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This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data;
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The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three;
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Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;
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-multivariate-analysis - provides files with all of the data used in the text so readers can replicate the results. The Appendix explains the data files;
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approaches to the analysis of such data are presented from an applied point of view.;
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Multivariate methods are employed widely in the analysis of experimental data but are poorly understood by those users who are not;
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Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SASA (R) Software;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The;
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designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized;
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down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and;
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A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the;
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An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing;
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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;
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The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications;
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include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys;
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