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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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assign to social science graduate students without fear of intimidation. It is a tremendous balance of applied statistical firepower and;
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software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save;
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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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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 set contains: 9780471469438 Regression and ANOVA: An Integrated Approach Using SAS(R) Software by Keith E. Muller, Bethel A. Fetterman;
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Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the;
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Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the;
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This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it;
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includes: An introduction to R and S-Plus(r) with many examples Multiple comparison procedures Estimation of quantiles for regression models An;
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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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. A separate appendix is devoted to the conversion of S-Plus objects to R objects.In addition, each chapter ends with a set of problems that;
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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 for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into;
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computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata;
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include complete SAS(R) code, Proc IML routines plus a tutorial on Proc IML, and an appendix with additional programs and data sets. Applied;
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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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companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates;
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regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume;
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regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume;
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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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introduction to R, as well as S-PLUS New exercises have been added; Includes a comparison of S-PLUS and R Well-suited for self-study;
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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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are provided on an accompanying website. The book has been designed to be an R companion to Warner's Applied Statistics I, Third Edition, and;
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Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical;
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with basic information on how to use Excel * A companion website with additional Excel files, data sets, and homework problems as well as an;
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The Third Edition of An R Companion to Political Analysis by Philip H. Pollock III and Barry C. Edwards teaches your students to conduct;
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