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Multivariate Methods of Representing Relations in R for Prioritization Purposes

This monograph is multivariate, multi-perspective and multipurpose. We intend to be innovatively in;...

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Multivariate Analysis for the Biobehavioral and Social Sciences

An insightful guide to understanding and visualizing multivariate statistics using SAS(R), STATA(R), and SPSS(R) Multivariate Analysis for;

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Essentials of Multivariate Data Analysis

illustrate the techniques. The accompanying add-in for Microsoft Excel (R) can be used to carry out the analyses in the text. The dataset and Excel;

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Multivariate Statistical Methods

edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used;

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Multivariate Statistical Methods

edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used;

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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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Applied Multivariate Statistics with R

accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes;

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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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An Introduction to Applied Multivariate Analysis with R

variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another;

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Introduction to Multivariate Statistical Analysis in Chemometrics

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical;

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Multivariate Survival Analysis and Competing Risks

in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the;

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Multivariate Survival Analysis and Competing Risks

in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the;

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Advanced and Multivariate Statistical Methods

purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the;

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Advanced and Multivariate Statistical Methods

purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the;

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Essentials of Multivariate Data Analysis

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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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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Univariate Bivariate & Multivariate Stat

A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate;

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Methods of Multivariate Statistics

Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing;

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Multivariate Nonparametric Regression And Visualization

an overview of classification and regression. The book then introduces and examines various tested and proven visualization techniques for;

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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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Smoothing of Multivariate Data

is freely available on the book's related Web site along with Code sections for each chapter that provide short instructions for working in the R;

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Multivariate Statistics

to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for;

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Chemometrics in Excel

chemometric methods as worksheet functions in Excel Includes Chemometrics Add In for download which uses Microsoft Excel(R) for chemometrics training;

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An R Companion for Applied Statistics II

An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into;

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