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Regression, ANOVA, and the General Linear Model: A Statistics Primer

interpret statistics and their use;

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A Primer on Linear Models

of the general linear model, including multiple regression models, one-way ANOVA, mixed-effects models, and time series models. It then;

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A Primer on Linear Models

of the general linear model, including multiple regression models, one-way ANOVA, mixed-effects models, and time series models. It then;

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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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Regression and ANOVA

unified presentation of regression of ANOVA than do traditional sums of squares and scalar equations. The book contains a balanced treatment;

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Statistical Methods for the Analysis of Biomedical Data

regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and;

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Applied Linear Statistical Models

. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market;

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ANOVA and ANCOVA

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a;

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Introducing Anova and Ancova

Traditional approaches to ANOVA and ANCOVA are now being replaced by a General Linear Modeling (GLM) approach. This book begins with a;

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Plane Answers to Complex Questions

providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality;

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Plane Answers to Complex Questions

providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality;

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An Introduction to Generalized Linear Models

focusing on methods for analyzing particular kinds of data. It covers normal, Poisson, and binomial distributions; linear regression models;

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Linear Models and TimeSeries Analysis

A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA;

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Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

This set contains: 9780471469438 Regression and ANOVA: An Integrated Approach Using SAS(R) Software by Keith E. Muller, Bethel A. Fetterman;

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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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Analysis of Variance, Design, and Regression

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling;

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Analysis of Variance, Design, and Regression

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling;

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The Coordinate-Free Approach to Linear Models

This book is about the coordinate-free, or geometric, approach to the theory of linear models; more precisely, Model I ANOVA and linear;

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Regression Analysis and Linear Models

, generalized linear model, etc. This book presents the complex subject of regression analysis and linear models, in the most comprehensible and easy to;

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Univariate and Multivariate General Linear Models

unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs;

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Univariate and Multivariate General Linear Models

unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs;

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An Introduction to Generalized Linear Models

distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming;

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An Introduction to Generalized Linear Models

distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming;

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SAS Statistics by Example

, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and;

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SAS Statistics by Example

, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and;

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Analysis of Variance

statistical packages for microcomputers, linking the use of ANOVA to regression analysis, and enchancing their discussion on using ANOVA for;

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Methods And Applications Of Linear Models

thoroughly updated book, Methods and Applications of Linear Models: Regression and the Analysis of Variance, Third Edition features innovative;

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