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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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Introductory Multivariate Statistics for the Environmental Science

Science is a targeted text for those who are dealing with data collected in the field from environmental sources. Rather than describe in detail;

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The Interpretation Of Ecological Data

of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis. Demonstrates;

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Multivariate Analysis Of Ecological Data

field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological;

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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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Analyzing Ecological Data

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non;

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Analyzing Ecological Data

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non;

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Numerical Ecology

book on quantitative analysis of multivariate ecological data Relates ecological questions to methods of statistical analysis, with a;

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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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Multivariate Statistics

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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Applied Multivariate Data Analysis

jargon. With extensive exercises following every chapter, 'Applied Multivariate Data Analysis' is a valuable resource for students on applied;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Matrix Based Introduction to Multivariate Data Analysis

and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis. The book begins by explaining;

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Matrix-Based Introduction to Multivariate Data Analysis

researchers who are not familiar with matrix-intensive formulations of multivariate data analysis. The book begins by explaining fundamental matrix;

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Analysis of Multivariate Data with SPSS

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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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An Introduction to Multivariate Data

A comprehensive overview of multivariate data and analysis Providing an introduction to the subject of multivariate data analysis;

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Multivariate Statistical Inference And Applications

is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no;

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An Introduction to Applied Multivariate Analysis with R

method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes;

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Smoothing of Multivariate Data

environment. Combining mathematical analysis with practical implementations, Smoothing of Multivariate Data is an excellent book for courses;

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Robust Multivariate Analysis

data sets with outliers. Many R programs and R data sets are available on the author's website.;

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Multivariate Statistical Methods

first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data;

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Multivariate Statistical Methods

first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data;

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