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An R Companion to Linear Statistical Models

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the;

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An R Companion to Linear Statistical Models

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the;

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A First Course in Linear Model Theory

. With an innovative approach, the authors introduce to students the mathematical and statistical concepts and tools that form a foundation for;

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Linear Statistical Models

Indian Journal of Statistics Revised to reflect the current developments on the topic, Linear Statistical Models, Second Edition provides an up;

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Advanced R Statistical Programming and Data Models

, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to;

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An Introduction to Generalized Linear Models

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;

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Generalized Linear Models With Examples in R

This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it;

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Introduction to General and Generalized Linear Models

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models;

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Biostatistical Design and Analysis Using R

R the statistical and graphical environment is rapidlyemerging as an important set of teaching and research tools forbiologists. This book;

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Biostatistical Design & Analysis Using R

R the statistical and graphical environment is rapidlyemerging as an important set of teaching and research tools forbiologists. This book;

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An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on;

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An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on;

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Foundations of Linear and Generalized Linear Models

of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book;

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Design of Experiments

Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an;

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Design of Experiments

Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an;

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R for Marketing Research and Analytics

This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a;

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Linear Models And Regression With R

statistical ideas can be used to explore the more general linear model with rank-deficient design and/or covariance matrices. The unified treatment;

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Statistics for Linguists

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple;

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Statistics for Linguists

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple;

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Advanced Statistics for the Behavioral Sciences

statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced;

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Environmental and Ecological Statistics with R

examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment;

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Environmental and Ecological Statistics with R

examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment;

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Extending the Linear Model with R

Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J;

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Introduction to WinBUGS for Ecologists

. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an;

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Matrix Algebra Useful for Statistics

A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS(R), MATLAB(R), and R throughout This;

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Bringing Bayesian Models to Life

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental;

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Bringing Bayesian Models to Life

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental;

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