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Graphical models----a subset of log--linear models----reveal the interrelationships between multiple variables and features of the;
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for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and;
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Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SASA (R) Software;
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areas of behavioral and social sciences where multivariate statistics is heavily applied. This new edition features an appendix of answers to;
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core topic. The first part of this book is devoted to graphical techniques. The second deals with multivariate random variables and presents;
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The book is aimed at applied statisticians, graduate students of statistics, and students and researchers with a strong interest;
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This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data;
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a wide audience, including graduate students, applied researchers, and experts in graphical models.;
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at a wide audience, including graduate students, applied researchers, and experts in graphical models.;
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to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for;
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An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into;
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analysis may be undertaken. Now in its 2nd edition, 'Applied Multivariate Data Analysis' has been fully expanded and updated, including major;
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of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies;
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Praise for the First Edition The main strength of this book is that it provides a unified framework of graphical tools for data;
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The book aims to present a wide range of the newest results on multivariate statistical models, dist;...
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For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statis;...
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applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;
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applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;
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shrinkage, thresholding, and penalized likelihood with applications to Gaussian graphical models, prediction, and mean-variance portfolio management;
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graphical tools * Coax important hidden information from data with graphical 3-D software and numerical multivariate data stratification * Perform;
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This book outlines Bayesian statistical analysis in great detail, from the development of a model th;...
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from linear models are extended and applied to tensor spaces. Further, the book considers decompositions of tensor products into natural;
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postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important;
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Created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques, this;
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needs a basic knowledge of statistics, probability, and inference, as well as a solid background in matrix theory and applied univariate linear;
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contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the;
Vergelijkbare producten zoals Multivariate Analysis for the Behavioral Sciences, Second Edition
contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book;
Vergelijkbare producten zoals Multivariate Analysis for the Behavioral Sciences, Second Edition
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