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Applied Regression Including Computing and Graphics

widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical;

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Regression Graphics

how statisticians, both theoretical and applied, can use these exciting innovations. After developing a relatively new regression context that;

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An R Companion to Applied Regression

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied;

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Applied Regression Modeling

assist readers in understanding and retaining the more complex content. Applied Regression Modeling covers a wide variety of topics, like;

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Bayesian Hierarchical Models

and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal;

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Bayesian Hierarchical Models

, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied;

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Statistical Data Analysis Using SAS

graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and;

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25 Recipes For Getting Started With R

for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics;

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Applied Multiple Regression/Correlation Analysis For The Beh

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its;

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MP Applied Linear Regression Models-Revised Edition with Student CD (Int'l Ed)

Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and;

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Statistical Regression Modeling with R

applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related;

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Statistical Regression Modeling with R

applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related;

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Applied Linear Regression 4th Ed

Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression;

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Graphics for Statistics and Data Analysis with R

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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Graphics for Statistics and Data Analysis with R

Shang, Journal of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles;

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Data Analysis Using Regression & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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Lisp-Stat

regression models to general maximum likelihood estimation and approximate Bayesian computations. Standard graphs include scatter plots, rotatable;

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Graphics and Visualization

This book is a comprehensive introduction to visual computing, dealing with the modeling and synthesis of visual data by means of computers;

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Understanding Linear Regression and Anova

Applied Regression and ANOVA Using SAS (R) has been written specifically for non-statisticians and applied statisticians who are primarily;

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R Graphics

Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete;

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Applications of Soft Computing

of application areas, including optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;

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Computer Graphics with Java

Java is becoming an increasingly popular programming language, being used not only for web development, but also for larger industrial and;

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An R Companion to Political Analysis

inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and;

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A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing

A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing shows how to use a collection;

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A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing

A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing shows how to use a collection;

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Handbook of Quantile Regression

Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile;

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