Regression Inside Out, David Melamed, Eric W. Schoon, Ronald L. Breiger
Автор: David Melamed, Eric W. Schoon, Ronald L. Breiger Название: Regression Inside Out ISBN: 1108744885 ISBN-13(EAN): 9781108744881 Издательство: Cambridge Academ Рейтинг: Цена: 4117.00 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.
Автор: Miles J & Shevlin M Название: Applying Regression and Correlation ISBN: 0761962301 ISBN-13(EAN): 9780761962304 Издательство: Sage Publications Рейтинг: Цена: 8712.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: By introducing the reader to regression analysis through a simple model-building approach, this book takes a fresh look at applying regression analysis in the behavioural sciences.
Автор: Poston, Jr, Dudley L. (texas A&m University) Conde, Eugenia (university Of North Carolina, Chapel Hill) Field, Layton M. (mount St. Mary`s University) Название: Applied regression models in the social sciences ISBN: 1108926266 ISBN-13(EAN): 9781108926263 Издательство: Cambridge Academ Рейтинг: Цена: 7126.00 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: Berk Richard a. Название: Statistical Learning from a Regression Perspective ISBN: 3319829696 ISBN-13(EAN): 9783319829692 Издательство: Springer Рейтинг: Цена: 9354.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.
Автор: Matias D. Cattaneo, Nicolas Idrobo, Rocio Titiunik Название: A Practical Introduction to Regression Discontinuity: Extensions ISBN: 1009462326 ISBN-13(EAN): 9781009462327 Издательство: Cambridge Academ Рейтинг: Цена: 8712.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this Element, which continues our discussion in Foundations, the authors provide an accessible and practical guide for the analysis and interpretation of Regression Discontinuity (RD) designs that encourages the use of a common set of practices and facilitates the accumulation of RD-based empirical evidence. The focus is on extensions to the canonical sharp RD setup that we discussed in Foundations. The discussion covers (i) the local randomization framework for RD analysis, (ii) the fuzzy RD design where compliance with treatment is imperfect, (iii) RD designs with discrete scores, and (iv) and multi-dimensional RD designs.
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: 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: 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.
Автор: Dirk Speelman; Kris Heylen; Dirk Geeraerts Название: Mixed-Effects Regression Models in Linguistics ISBN: 3319888501 ISBN-13(EAN): 9783319888507 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
When data consist of grouped observations or clusters, and there is a risk that measurements within the same group are not independent, group-specific random effects can be added to a regression model in order to account for such within-group associations. Regression models that contain such group-specific random effects are called mixed-effects regression models, or simply mixed models. Mixed models are a versatile tool that can handle both balanced and unbalanced datasets and that can also be applied when several layers of grouping are present in the data; these layers can either be nested or crossed. In linguistics, as in many other fields, the use of mixed models has gained ground rapidly over the last decade. This methodological evolution enables us to build more sophisticated and arguably more realistic models, but, due to its technical complexity, also introduces new challenges. This volume brings together a number of promising new evolutions in the use of mixed models in linguistics, but also addresses a number of common complications, misunderstandings, and pitfalls. Topics that are covered include the use of huge datasets, dealing with non-linear relations, issues of cross-validation, and issues of model selection and complex random structures. The volume features examples from various subfields in linguistics. The book also provides R code for a wide range of analyses.
Автор: Thrane Christer Название: Applied Regression Analysis ISBN: 1138335487 ISBN-13(EAN): 9781138335486 Издательство: Taylor&Francis Рейтинг: Цена: 8879.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an introduction to regression analysis which focuses on the practical aspects of conducting regression analysis and the real-world applications of this tool.
Автор: Ma, Xin Название: Using classification and regression trees ISBN: 164113237X ISBN-13(EAN): 9781641132374 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7623.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART.This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART.The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.
Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.
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