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understanding multivariate methods."Mathematical Tools for Applied Multivariate Analysis, Revised Edition illustrates major concepts in matrix;
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environment. Combining mathematical analysis with practical implementations, Smoothing of Multivariate Data is an excellent book for courses;
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encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path;
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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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jargon. With extensive exercises following every chapter, 'Applied Multivariate Data Analysis' is a valuable resource for students on applied;
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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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various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates;
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), wavelet analysis, and many others. Current activities of chemometricians fall into two main categories: (1) development of new methods for;
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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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elementary point of view that parallels the theory and development of univariate spline analysis. To compensate for the missing proofs and details;
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is of interest to researchers and Ph.D. students in mathematical statistics, signal processing and other fields where statistical multivariate 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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analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. An easily understood dataset is used throughout to;
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analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. An easily understood dataset is used throughout to;
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Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with;
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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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, using a conceptual, non-mathematical, approach.;
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provide a timely introduction to useful tools for multivariate statistical analysis.;
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provide a timely introduction to useful tools for multivariate statistical analysis.;
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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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supplementary text for several advanced courses. The results presented apply to many areas of pure and applied mathematics, such a mathematical analysis;
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Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer;
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analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details;
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analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details;
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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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Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical;
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