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crucial for the practising scientist in many diverse disciplines. Multivariate Image Analysis gives the reader a sound understanding of the;
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aims at presenting the most recent advances in signal and image processing for the analysis of multivariate data. It should be helpful for;
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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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Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral;
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This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining;
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field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;
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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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Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;
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This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the;
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the mathematics behind multivariate statistical analysis, the book focuses on the application of analysis to real-world situations. After;
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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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The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications;
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by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor;
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in non-selective, overwhelming and apparently useless measurements by multivariate data analysis. Multivariate calibration is the process;
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This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the;
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This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data.;
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Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling;
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Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows;
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A readable and user-friendly presentation of multivariate analysis A common and important statistical technique, 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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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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hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first;
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This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;
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The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted;
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This book integrates methods and data based on interpretations relevant to multivariate analysis. It uses an applications approach and;
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