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regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and;
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The book is divided into three parts - (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple;
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methods Applied Linear Regression, Fourth Edition is an excellent textbook for upper-undergraduate and graduate-level students, as well as an;
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management and data analysis. This book on correlation and regression analysis will have a non-mathematical, applied, data-analytic approach. Readers;
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The SSM features worked solutions to select problems in Applied Regression Analysis and Other Multivariable Methods, 5e.;
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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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. 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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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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This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its;
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Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;
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Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the;
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a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear;
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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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For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis;
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For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis;
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This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the;
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Edition of Applied Regression Modeling delivers a concise but comprehensive treatment of the application of statistical regression analysis for;
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"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;
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The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for;
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state of the art for existing practitioners. Meta-regression analysis addresses the rising Tower of Babel that current economics and business;
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state of the art for existing practitioners. Meta-regression analysis addresses the rising Tower of Babel that current economics and business;
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Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive;
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A step-by-step guide to computing and graphics in regression analysis In this unique book, leading statisticians Dennis Cook and Sanford;
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possibility for the appraiser to be challenged. On the surface, regression analysis appears to be the more complex, mathematical model, so many;
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This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;
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This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;
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of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression;
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