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SAS System for Linear Models, 4e + Linear Models in Statistics, 2e Set

This set contains: 9780471221746 SAS for Linear Models, Fourth Edition by Ramon Littell, Walter W. Stroup, Rudolf Freund and 9780471754985;

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SAS for Linear Models

Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analysing linear models with the SAS;

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SAS for Mixed Models, Second Edition

The indispensable, up-to-date guide to mixed models using SAS®. Discover the latest capabilities available for a variety of applications;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's "Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS" is devoted to the;

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Applied Linear Models with SAS

This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the;

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Logistic Regression Using SAS

Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the;

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Applied Operational Research with SAS

algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several;

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Applied Operational Research with SAS

algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several;

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Logistic Regression Using SAS

Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the;

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Generalized Linear Mixed Models

generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big;

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Statistical Data Analysis Using SAS

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for;

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Univariate and Multivariate General Linear Models

generality of the model. The authors present and explain in detail actual SAS code for analyzing general linear model applications. Additional topics;

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A Handbook of Statistical Analyses using SAS

of how to conduct various statistical analyses using SAS. Each chapter shows how to use SAS for a particular type of analysis. The authors;

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Handbook Of Statistical Analyses Using Sas

of how to conduct various statistical analyses using SAS. Each chapter shows how to use SAS for a particular type of analysis. The authors;

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Linear Mixed Models for Longitudinal Data

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this;

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Linear Models

edition. Linear Models, Second Edition is written in such a way as to be self-contained for a person with a background in basic statistics;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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Matrix Algebra Useful for Statistics

, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations;

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Advanced Regression Models with SAS and R

consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The;

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Advanced Regression Models with SAS and R

consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The;

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Linear Models in Statistics

related Web site includes additional data sets and SAS(r) code for all numerical examples. Linear Model in Statistics, Second Edition is a must;

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Generalized Linear Models

analyses that can be easily worked using the SAS, Minitab, JMP, and R software packages. Its relevant for upper-undergraduate and graduate students;

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Statistics for Environmental Biology and Toxicology

categorical data. For the more complex analyses, extensive examples including SAS and S-PLUS programming code are provided to assist the reader when;

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Statistical Analysis Of Medical Data Using Sas

without interruption. All of the code and data sets used in the book are available for download from either the SAS Web site or www.crcpress.com;

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Statistics with Applications in Biology and Geology

, two samples, one- and two-way analysis of variance, and linear regression for normal data and similar models for binomial, multinomial, and;

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