Regression Inside Out, David Melamed, Eric W. Schoon, Ronald L. Breiger
Автор: Bolin, Jocelyn E. (Ball State University, Department of Educational Psychology) Название: Regression Analysis in R ISBN: 103225775X ISBN-13(EAN): 9781032257754 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation.
Автор: Zelterman, Daniel (yale University, Connecticut) Название: Regression for health and social science ISBN: 1108478182 ISBN-13(EAN): 9781108478182 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data.
Автор: David Melamed, Eric W. Schoon, Ronald L. Breiger Название: Regression Inside Out ISBN: 1108841104 ISBN-13(EAN): 9781108841108 Издательство: Cambridge Academ Рейтинг: Цена: 11880.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emphasis on the cases (people, organizations, and nations) that comprise the variables. By re-analyzing influential published research, they reveal new insights and present a principled way to unlock a set of more nuanced interpretations than has previously been attainable. The emphasis is on intuition and examples that can be reproduced using the code and datasets provided. Relating their contributions to methodologies that operate under quite different philosophical assumptions, the authors advance multi-method social science and help to bridge the divide between quantitative and qualitative research. The result is a modern, accessible, and innovative take on extracting knowledge from data.
Описание: This book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that allow instructors and students to explore in a fun way the real-world complexity of the subject. The book fosters an engaging 'flipped classroom' environment with a focus on visualization and understanding. The book provides instructors with frameworks for self-study or for structuring the course, along with tips for maintaining student engagement at all levels, and practice exam questions to help guide learning. Designed to accompany the authors' previous textbook Regression and Other Stories, its modular nature and wealth of material allow this book to be adapted to different courses and texts or be used by learners as a hands-on workbook.
Автор: Dudley L. Poston, Jr, Eugenia Conde, Layton M. Field Название: Applied Regression Models in the Social Sciences ISBN: 1108831028 ISBN-13(EAN): 9781108831024 Издательство: Cambridge Academ Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.
Автор: Hans-Jurgen Andress, Jacques A. P. Hagenaars, Steffen Kuhnel Название: Interpreting and Comparing Effects in Logistic, Probit and Logit Regression ISBN: 1544364016 ISBN-13(EAN): 9781544364018 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Interpreting Effects in Logistic Regression and Logit Models shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one model, (ii) between identical models estimated in different subgroups, and (iii) between nested models. Additionally, this volume presents a practical, unified treatment of comparison problems and considers the advantages and disadvantages of each approach and when to use them.
Автор: Gordon, Rachel A. Название: Regression Analysis for the Social Sciences ISBN: 1138810533 ISBN-13(EAN): 9781138810532 Издательство: Taylor&Francis Рейтинг: Цена: 41342.00 р. Наличие на складе: Нет в наличии.
Автор: Bolin, Jocelyn E. (ball State University, Department Of Educational Psychology) Название: Regression analysis in r ISBN: 036727258X ISBN-13(EAN): 9780367272586 Издательство: Taylor&Francis Рейтинг: Цена: 8726.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation.
Автор: Roberts Aki, Roberts John M. Название: Multiple Regression: A Practical Introduction ISBN: 1544339704 ISBN-13(EAN): 9781544339702 Издательство: Sage Publications Рейтинг: Цена: 13306.00 р. Наличие на складе: Поставка под заказ.
Описание: Multiple Regression: A Practical Introductionis a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. Multiple regression asks how a dependent variable is related to, or predicted by, a set of independent variables. The book includes many interesting example analyses and interpretations, along with exercises. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered. SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book are available on an accompanying website, along with solutions to the exercises (on the instructor site).
Автор: Gordon, Rachel A. Название: Regression Analysis for the Social Sciences ISBN: 113881251X ISBN-13(EAN): 9781138812512 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Нет в наличии.
Автор: Arkes, Jeremy Название: Regression analysis ISBN: 1032257830 ISBN-13(EAN): 9781032257839 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math. Regression Analysis covers the concepts needed to design optimal regression models and to properly interpret regressions.
Автор: Pampel Fred C. Название: Logistic Regression: A Primer ISBN: 1071816209 ISBN-13(EAN): 9781071816202 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Поставка под заказ.
Описание: This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples.
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