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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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-- A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th ;...
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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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This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both;
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of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS;
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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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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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Applied Multivariate Statistical Analysis, is a book that is intended for university students of any college. You'll find theory as;
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encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path;
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Applied Behavior Analysis provides a complete description of the principles and procedures needed to systematically change socially;
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Based on the lectures given during the Eurocourse on [title] held at the Joint Research Centre, Ispra, Italy, June 1991. Reviews the state;
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analysis, MANOVA, path analysis and structural equation modeling. This book is designed to provide full coverage of the wide range of multivariate;
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the necessary mathematical foundations of applied multivariate analysis. It brings up-to-date many definitions of mathematical concepts and;
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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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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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focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the;
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, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and;
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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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This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data;
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This book expands on the classical statistical multivariate analysis theory by focusing on bilinear regression models, a class of models;
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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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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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reference for both theoretical and applied statisticians. It will also be used as a textbook for a graduate course in multivariate analysis. It;
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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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