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Multiple Regression and Beyond, 


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Название:  Multiple Regression and Beyond
ISBN: 9781292027654
Издательство: Pearson Education
Классификация:

ISBN-10: 1292027657
Обложка/Формат: Paperback
Страницы: 496
Вес: 1.00 кг.
Дата издания: 2013-08-01
Размер: 274 x 215 x 19
Читательская аудитория: Professional & vocational
Рейтинг:
Поставляется из: Англии
Описание: This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts: the author concentrates on multiple regression analysis in the first part and structural equation modeling in the second part.


      Новое издание
Multiple Regression and Beyond

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061441 ISBN-13(EAN): 9781138061446
Издательство: Taylor&Francis
Цена: 13014.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods.

Multiple Regression and Beyond

Автор: Keith, Timothy Z.
Название: Multiple Regression and Beyond
ISBN: 1032520973 ISBN-13(EAN): 9781032520971
Издательство: Taylor&Francis
Цена: 10717.00 р.
Наличие на складе: Нет в наличии.
Описание: Multiple Regression and Beyond provides a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with related analyses. By emphasising the concepts and purposes of MR rather than the derivation and calculation of formulas, this book presents the material in a clearer and more accessible way. This approach not only covers essential coursework but also makes it more approachable for students, increasing the likelihood that they will conduct research using MR or SEM effectively and wisely.This book covers both MR and SEM, explaining their relevance to each other. It also includes path analysis, confirmatory factor analysis, and latent growth modeling, incorporating real-world research examples throughout the chapters and end-of-chapter exercises. Figures and tables are used extensively to illustrate key concepts and techniques.This new edition includes:New sections on quantile regression, statistical suppression, and random intercept panel modelsSupport for the statistical program R and the R package lavaan in the text and on the website (www.tzkeith.com)New examples and exercisesUpdated instructor and student online resources (www.tzkeith.com)


Applying Regression and Correlation

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.

Quantile Regression: v. 149

Автор: Hao
Название: Quantile Regression: v. 149
ISBN: 1412926289 ISBN-13(EAN): 9781412926287
Издательство: Sage Publications
Рейтинг:
Цена: 5859.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Quantile Regression establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literatures exist for each subject matter, the authors explore the natural connections between this increasingly sought-after tool and research topics in the social sciences.

Data analysis using regression and multilevel/hierarchical models

Автор: Gelman
Название: Data analysis using regression and multilevel/hierarchical models
ISBN: 052168689X ISBN-13(EAN): 9780521686891
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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.


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