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Analysis Of Multivariate & High Dimensio
methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data;
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Multivariate Time Series Analysis and Applications
, which may encourage the development of related software needed for the high dimensional multivariate time series analysis. Written by;
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Recent Developments in Multivariate and Random Matrix Analysis
papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis;
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Topics in Applied Multivariate Analysis
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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Applied Multivariate Statistical Analysis
involve high to ultra-high dimensions and represent a number of major fields in big data analysis. For this new edition, the book has been updated;
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Multivariate Analysis with LISREL
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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Applied Multivariate Analysis
Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;
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Multivariate Data Analysis
For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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Multivariate Data Analysis
For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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Multivariate Data Analysis
For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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High-Dimensional Covariance Estimation
graduate-level courses in multivariate analysis, covariance estimation, statistical learning, and high-dimensional data analysis.;
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Introductory Multivariate Statistics for the Environmental Science
the mathematics behind multivariate statistical analysis, the book focuses on the application of analysis to real-world situations. After;
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Non-Asymptotic Analysis of Approximations for Multivariate Statistics
This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus;
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Multivariate Data Analysis
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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Multivariate Statistical Inference And Applications
The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications;
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Multivariate Bonferroni-Type Inequalities
multivariate lower bounds and covers vectorized high-dimensional lower bounds with refinements, such as Hamilton-type circuits and sub-Markovian events;
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Multivariate Bonferroni-Type Inequalities
multivariate lower bounds and covers vectorized high-dimensional lower bounds with refinements, such as Hamilton-type circuits and sub-Markovian events;
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Introduction to Multivariate Analysis
This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the;
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Robust Multivariate Analysis
by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor;
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Multivariate Analysis of Ecological Data with Ade4
This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data.;
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Introduction to Multivariate Analysis
Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling;
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Introduction to Multivariate Analysis
Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows;
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Multivariate Analysis
A readable and user-friendly presentation of multivariate analysis A common and important statistical technique, multivariate analysis;
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Applied Multivariate Statistics with SAS Software
, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively;
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Multivariate Statistics
Written by well-known, award-winning authors, this is the first book to focus on high-dimensional data analysis while presenting real-world;
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Applied Multivariate Analysis
This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both;
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