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A Primer of Multivariate Statistics

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate;

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A Primer of Multivariate Statistics

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate;

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Introductory Multivariate Statistics for the Environmental Science

A complete introduction to multivariate statistics for environmental science Introductory Multivariate Statistics for the Environmental;

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Applied Multivariate Stat Analysis PNIE

courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text;

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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 Archaeology

The editor opens this volume with a discussion of multivariate statistics and their usefulness in archaeology. Discarding inductive;

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Multivariate Statistics

The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications;

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Using Multivariate Statistics

This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;

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Using Multivariate Statistics

This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;

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Using Multivariate Statistics

This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;

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Non-Asymptotic Analysis of Approximations for Multivariate Statistics

with random sample size. Lastly, it proposes a general approach for the construction of non-asymptotic bounds, providing relevant examples for;

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An R Companion for Applied Statistics II

examples from that book in R. However, this text can also be used as a stand-alone R guide for a multivariate statistics course, without reference;

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Multivariate Statistics Made Simple

This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic;

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Applied Multivariate Statistics with R

for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and;

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Aspects of Multivariate Statistical Theory

the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and;

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Kendall's Advanced Theory of Statistics

in the history of the late Sir Maurice Kendall's volumes, The Advanced Theory of Statistics. This landmark publication begain life as a two;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection;

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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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Multivariate Statistics for Wildlife and Ecology Research

for the specific needs of ecologists and makes statistics more applicable to their course of study. It gives readers a solid conceptual;

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Multivariate Statistics for Wildlife and Ecology Research

for the specific needs of ecologists and makes statistics more applicable to their course of study. It gives readers a solid conceptual;

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Applied Multivariate Analysis

as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to;

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The Geometry of Multivariate Statistics

A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear;

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The Geometry of Multivariate Statistics

A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear;

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Statistics on Special Manifolds

Covering statistical analysis on the two special manifolds, the Stiefel manifold and the Grassmann manifold, this book is designed as a;

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Introduction To Multivariate Statistical Analysis

likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. Treats all the basic and important topics in multivariate;

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