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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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Robust Correlation Theory & Aplications

This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions;

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Introduction to Multivariate Statistical Analysis in Chemometrics

Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical;

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Testing For Normality

Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and;

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Testing For Normality

Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and;

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Modern Nonparametric, Robust and Multivariate Methods

Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and;

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Robust Statistics

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation;

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Robust Statistical Methods with R, Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new;

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Robust Statistical Methods with R, Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new;

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Robust Nonparametric Statistical Methods

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers;

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Multivariate Time Series Analysis and Applications

field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;

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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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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 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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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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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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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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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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Robust Statistics

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into;

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Exploring Data Tables, Trends, And Shapes

major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The;

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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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Multivariate Generalized Linear Mixed Models Using R

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data;

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