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Multiple Regression and Beyond, Keith, Timothy Z.


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Автор: Keith, Timothy Z.
Название:  Multiple Regression and Beyond
ISBN: 9781032520971
Издательство: Taylor&Francis
Классификация:








ISBN-10: 1032520973
Обложка/Формат: Paperback
Страницы: 676
Вес: 0.45 кг.
Дата издания: 23.09.2025
Издание: 4 ed
Иллюстрации: 66 tables, black and white; 430 line drawings, black and white; 430 illustrations, black and white
Размер: 254 x 178
Основная тема: Regression Analysis and Multivariate Statistics
Подзаголовок: An Introduction to Multiple Regression and Structural Equation Modeling
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
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)
Дополнительное описание: PrefaceNotes for the Fourth EditionAcknowledgmentsPart I: Multiple RegressionChapter 1: Simple bivariate regressionChapter 2: Multiple regression: IntroductionChapter 3: Multiple regression: More detailChapter 4: Three and more independent variables and r



      Старое 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

Название: Multiple Regression and Beyond
ISBN: 1292027657 ISBN-13(EAN): 9781292027654
Издательство: Pearson Education
Цена: 5016.00 р.
Наличие на складе: Невозможна поставка.
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.


Regression: Models, Methods and Applications

Автор: Fahrmeir Ludwig, Kneib Thomas, Lang Stefan
Название: Regression: Models, Methods and Applications
ISBN: 3662638819 ISBN-13(EAN): 9783662638811
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important definitions and statements are concisely summarized in boxes, and the underlying data sets and code are available online on the book’s dedicated website. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. The chapters address the classical linear model and its extensions, generalized linear models, categorical regression models, mixed models, nonparametric regression, structured additive regression, quantile regression and distributional regression models. Two appendices describe the required matrix algebra, as well as elements of probability calculus and statistical inference. In this substantially revised and updated new edition the overview on regression models has been extended, and now includes the relation between regression models and machine learning, additional details on statistical inference in structured additive regression models have been added and a completely reworked chapter augments the presentation of quantile regression with a comprehensive introduction to distributional regression models. Regularization approaches are now more extensively discussed in most chapters of the book. The book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written at an intermediate mathematical level and assumes only knowledge of basic probability, calculus, matrix algebra and statistics.

Regression Inside Out

Автор: David Melamed, Eric W. Schoon, Ronald L. Breiger
Название: Regression Inside Out
ISBN: 1108744885 ISBN-13(EAN): 9781108744881
Издательство: Cambridge Academ
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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.

Data Analysis

Автор: Correll, Josh
Название: Data Analysis
ISBN: 1032572086 ISBN-13(EAN): 9781032572086
Издательство: Taylor&Francis
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Цена: 11482.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Nationalism and Multiple Modernities: Europe and Beyond

Автор: Ichijo Atsuko
Название: Nationalism and Multiple Modernities: Europe and Beyond
ISBN: 1349435791 ISBN-13(EAN): 9781349435791
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is the first to apply the theory of multiple modernities to the study of nationalism, examining the modernity of nationalism through three major case-studies: Anglo-British, Finnish and Japanese.

Multiple Regression and Beyond

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061425 ISBN-13(EAN): 9781138061422
Издательство: Taylor&Francis
Рейтинг:
Цена: 33686.00 р.
Наличие на складе: Есть у поставщика Поставка 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: 1032520957 ISBN-13(EAN): 9781032520957
Издательство: Taylor&Francis
Рейтинг:
Цена: 27562.00 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)

Multiple Regression and Beyond

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061441 ISBN-13(EAN): 9781138061446
Издательство: Taylor&Francis
Рейтинг:
Цена: 13014.00 р.
Наличие на складе: Есть у поставщика Поставка 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.

Advanced Statistics for Testing Assumed Causal Relationships

Автор: Hooshang Nayebi
Название: Advanced Statistics for Testing Assumed Causal Relationships
ISBN: 3030547531 ISBN-13(EAN): 9783030547530
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

Multiple regression:testing and interpreting interaction

Автор: Aiken, L.,Reno.R.,West,S.
Название: Multiple regression:testing and interpreting interaction
ISBN: 0761907122 ISBN-13(EAN): 9780761907121
Издательство: Sage Publications
Рейтинг:
Цена: 13306.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller′s work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.

Advanced Statistics for Testing Assumed Causal Relationships: Multiple Regression Analysis Path Analysis Logistic Regression Analysis

Автор: Nayebi Hooshang
Название: Advanced Statistics for Testing Assumed Causal Relationships: Multiple Regression Analysis Path Analysis Logistic Regression Analysis
ISBN: 3030547566 ISBN-13(EAN): 9783030547561
Издательство: Springer
Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

Data Analysis

Автор: Judd, Charles M.
Название: Data Analysis
ISBN: 1138819824 ISBN-13(EAN): 9781138819825
Издательство: Taylor&Francis
Рейтинг:
Цена: 25265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Data Analysis

Автор: Correll, Josh
Название: Data Analysis
ISBN: 1032572094 ISBN-13(EAN): 9781032572093
Издательство: Taylor&Francis
Рейтинг:
Цена: 29093.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.


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