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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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An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most;
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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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Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more;
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widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical;
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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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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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offers comprehensive coverage of the subject in 9 chapters: Theories of Nonlinear Regression and Inference; Introduction to R; Optimization;
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Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by;
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Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric;
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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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Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics;
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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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Edition of Applied Regression Modeling delivers a concise but comprehensive treatment of the application of statistical regression analysis for;
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An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and;
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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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exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples;
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exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples;
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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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. In An Introduction to Mathematical Statistics the authors describe key concepts from statistics and give a mathematical basis for important;
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Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing;
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interaction in multiple regression. Each chapter is presented in the same comprehensive format: an introduction to the topic, followed by a;
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regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data;
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Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing;
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The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between;
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INTRODUCTION TO LINEAR REGRESSION ANALYSIS A comprehensive and current introduction to the fundamentals of regression analysis;
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