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

and 9780471370383 Applied Statistics: Analysis of Variance and Regression, Third Edition by Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark.;

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Primer of Applied Regression & Analysis of Variance, Third Edition

Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental;

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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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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 Analysis of Variance

This book provides an in-depth overview of simple and multiple linear regression analysis, one-way and multi-way analysis of variance, and;

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Applied Statistics

Applied Statistics presents a thorough treatment of the methods of regression and analysis of variance. The book focuses on conceptual;

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Applied Regression Analysis

a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear;

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Statistical Methods for Engineers and Scientists

emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern;

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Statistical Methods for Engineers and Scientists

emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern;

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Data Analysis

of the third edition include: a new chapter on logistic regression; expanded treatment of mixed models for data with;

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Data Analysis

of the third edition include: a new chapter on logistic regression; expanded treatment of mixed models for data with;

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Applied Logistic Regression

examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes;

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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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Statistical Methods

A novel exposition of the analysis of variance and regression. The key feature here is that these tools are viewed in their natural;

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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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Primer of Biostatistics, Seventh Edition

confidently. With Primer of Biostatistics, you'll start with the basics, including analysis of variance and the t test, then advance to multiple;

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Linear Models in Statistics

of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear;

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Sample Size Choice

of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date;

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Sample Size Choice

of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date;

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Applied Statistics

. Technometrics Applied Statistics: Analysis of Variance and Regression, Third Edition has been thoroughly revised to provide a comprehensive and up-to;

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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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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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A Primer of Permutation Statistical Methods

regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based;

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A Primer of Permutation Statistical Methods

regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based;

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Advanced Linear Models

prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression;

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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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