Applied regression models in the social sciences, Poston, Jr, Dudley L. (texas A&m University) Conde, Eugenia (university Of North Carolina, Chapel Hill) Field, Layton M. (mount St. Mary`s University)
Автор: Darlington Richard B., Hayes Andrew F. Название: Regression Analysis and Linear Models: Concepts, Applications, and Implementation ISBN: 1462521134 ISBN-13(EAN): 9781462521135 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Невозможна поставка. Описание: Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book`s examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable`s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.
Автор: Hastie Название: Generalized Additive Models ISBN: 0412343908 ISBN-13(EAN): 9780412343902 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A variety of power tools for data analysis, based on non-parametric regression or smoothing techniques, are described in this text. These methods relax the usual linear assumption in many standard models, allowing the analyst to uncover structure in data.
Автор: Hoffmann John P. Название: Regression Models for Categorical, Count, and Related Variables: An Applied Approach ISBN: 0520289293 ISBN-13(EAN): 9780520289291 Издательство: Wiley Рейтинг: Цена: 58080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. This book provides an introduction and overview of several statistical models designed for these types of outcomes.
Автор: Zelterman, Daniel (yale University, Connecticut) Название: Regression for health and social science ISBN: 1108478182 ISBN-13(EAN): 9781108478182 Издательство: Cambridge Academ Рейтинг: Цена: 52790.00 T 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: Thrane Christer Название: Applied Regression Analysis ISBN: 1138335487 ISBN-13(EAN): 9781138335486 Издательство: Taylor&Francis Рейтинг: Цена: 59190.00 T 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: Thrane, Christer Название: Applied Regression Analysis ISBN: 1138335479 ISBN-13(EAN): 9781138335479 Издательство: Taylor&Francis Рейтинг: Цена: 158230.00 T Наличие на складе: Невозможна поставка. 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: Gelman Название: Data analysis using regression and multilevel/hierarchical models ISBN: 052168689X ISBN-13(EAN): 9780521686891 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Chi, Guangqing Zhu, Jun Название: Spatial regression models for the social sciences ISBN: 154430207X ISBN-13(EAN): 9781544302072 Издательство: Sage Publications Рейтинг: Цена: 88710.00 T Наличие на складе: Поставка под заказ. Описание: Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.
Автор: Dirk Speelman; Kris Heylen; Dirk Geeraerts Название: Mixed-Effects Regression Models in Linguistics ISBN: 3319888501 ISBN-13(EAN): 9783319888507 Издательство: Springer Рейтинг: Цена: 121110.00 T 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: Dirk Speelman; Kris Heylen; Dirk Geeraerts Название: Mixed-Effects Regression Models in Linguistics ISBN: 3319698281 ISBN-13(EAN): 9783319698281 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: When data consists of grouped observations or clusters, and there is a risk that measurements within the same groups are not independent, group-specific random effects can be added to a regression model in order to account for such within-group associations.
Автор: Frost Jim Название: Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models ISBN: 1735431184 ISBN-13(EAN): 9781735431185 Издательство: Неизвестно Рейтинг: Цена: 31870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Featuring previously unpublished documents and reproducing over fifty photographs from archaeological excavations led by Oleg Grabar at Qasr al-Hayr in Syria, City in the Desert, Revisited recounts the personal experiences and professional endeavours that shaped the growth of the fields of Islamic archaeology, art, and architectural history.
Автор: ?ngel Nepomuceno-Fern?ndez; Lorenzo Magnani; Franc Название: Model-Based Reasoning in Science and Technology ISBN: 3030327213 ISBN-13(EAN): 9783030327217 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning.
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