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Generalizing the regression model, Wheaton, Blair Young, Marisa


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Автор: Wheaton, Blair Young, Marisa
Название:  Generalizing the regression model
ISBN: 9781506342092
Издательство: Sage Publications
Классификация:
ISBN-10: 1506342094
Обложка/Формат: Paperback
Страницы: 688
Вес: 1.06 кг.
Дата издания: 02.03.2021
Серия: Reference/Librarianship
Язык: English
Размер: 22.61 x 14.99 x 1.27 cm
Читательская аудитория: College/higher education
Ключевые слова: Research methods: general,Social research & statistics
Подзаголовок: Techniques for longitudinal and contextual analysis
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Поставляется из: Англии
Описание:

This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address substantive and interesting research questions. It takes a step-by-step approach in the presentation of each topic, using mathematical derivations where necessary, but primarily emphasizing how the methods involved can be implemented, are used in addressing representative substantive problems than span a number of disciplines, and can be interpreted in words. The book demonstrates the analyses in STATA and SAS. Generalizing the Regression Model provides students with a bridge from the classroom to actual research practice and application.




Introduction to generalized linear models, fourth edition

Автор: Dobson, Annette J. (university Of Queensland, Herston, Australia) Barnett, Adrian (queensland University Of Technology, Kelvin Grove, Australia)
Название: Introduction to generalized linear models, fourth edition
ISBN: 1138741515 ISBN-13(EAN): 9781138741515
Издательство: Taylor&Francis
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Цена: 5808.00 р.
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Описание: An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice.

Generalized Linear Models for Bounded and Limited Quantitative Variables

Автор: Michael Smithson, Yiyun Shou
Название: Generalized Linear Models for Bounded and Limited Quantitative Variables
ISBN: 1544334532 ISBN-13(EAN): 9781544334530
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: This book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. Examples of bounded variables include the percentage of a population eligible to vote (bounded from 0 to 100), or reaction time in milliseconds (bounded below by 0) . The human sciences deal in many variables that are bounded. Ignoring bounds can result in misestimation and improper statistical inference. Michael Smithson and Yiyun Shou's book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.

Generalized linear models

Автор: Gill, Jefferson M. Torres Pacheco, Silvia Michelle
Название: Generalized linear models
ISBN: 1506387349 ISBN-13(EAN): 9781506387345
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Explaining the theoretical underpinning of generalized linear models, this text enables researchers to decide how to select the best way to adapt their data for this type of analysis, with examples to illustrate the application of GLM.

An Introduction to Generalized Linear Models

Автор: Dobson
Название: An Introduction to Generalized Linear Models
ISBN: 113874168X ISBN-13(EAN): 9781138741683
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice.

Generalized Additive Models

Автор: Hastie
Название: Generalized Additive Models
ISBN: 0412343908 ISBN-13(EAN): 9780412343902
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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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.


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