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Regression models for categorical and count data, Martin, Peter


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Цена: 28500.00T
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Автор: Martin, Peter
Название:  Regression models for categorical and count data
ISBN: 9781529761269
Издательство: Sage Publications
Классификация:
ISBN-10: 1529761263
Обложка/Формат: Paperback
Страницы: 272
Вес: 4.38 кг.
Дата издания: 21.03.2022
Серия: The sage quantitative research kit
Язык: English
Размер: 187 x 232 x 19
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Research & information: general,Research methods: general,Social research & statistics
Рейтинг:
Поставляется из: Англии
Описание: In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin provides practical guidance on conducting regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help of illuminating graphs.

Автор: Liu, Xing
Название: Categorical data analysis and multilevel modeling using r
ISBN: 1544324901 ISBN-13(EAN): 9781544324906
Издательство: Sage Publications
Рейтинг:
Цена: 120390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.


Incomplete Categorical Data Design

Автор: Tian, Guo-Liang
Название: Incomplete Categorical Data Design
ISBN: 1439855331 ISBN-13(EAN): 9781439855331
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Fixed Effects Regression Models

Автор: Paul D Allison
Название: Fixed Effects Regression Models
ISBN: 0761924973 ISBN-13(EAN): 9780761924975
Издательство: Sage Publications
Рейтинг:
Цена: 39060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts.

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Автор: Heck, Ronald H
Название: Multilevel Modeling of Categorical Outcomes Using IBM SPSS
ISBN: 1848729561 ISBN-13(EAN): 9781848729568
Издательство: Taylor&Francis
Рейтинг:
Цена: 51030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Spatial regression models for the social sciences

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.

Data Analysis

Автор: Judd, Charles M.
Название: Data Analysis
ISBN: 1138819824 ISBN-13(EAN): 9781138819825
Издательство: Taylor&Francis
Рейтинг:
Цена: 168430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Using classification and regression trees

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 1641132388 ISBN-13(EAN): 9781641132381
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 94250.00 T
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.

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Автор: Ronald H Heck, Scott Thomas, Lynn Tabata
Название: Multilevel Modeling of Categorical Outcomes Using IBM SPSS
ISBN: 1848729553 ISBN-13(EAN): 9781848729551
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

Linear regression

Автор: Martin, Peter
Название: Linear regression
ISBN: 1526424177 ISBN-13(EAN): 9781526424174
Издательство: Sage Publications
Рейтинг:
Цена: 28500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This text introduces the fundamental linear regression models used in quantitative research.  It covers both the theory and application of these statistical models, and illustrates them with illuminating graphs. The author offers guidence on:

  • Deciding the most appropriate model to use for your research
  • Conducting simple and multiple linear regression
  • Checking model assumptions and the dangers of overfitting

Part of The SAGE Quantitative Research Kit, this book will help you make the crucial steps towards mastering multivariate analysis of social science data.



Using classification and regression trees

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 164113237X ISBN-13(EAN): 9781641132374
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 50820.00 T
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.

Applied Regression Analysis and Generalized Linear Models

Автор: Fox John
Название: Applied Regression Analysis and Generalized Linear Models
ISBN: 1452205663 ISBN-13(EAN): 9781452205663
Издательство: Sage Publications
Рейтинг:
Цена: 166850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819832 ISBN-13(EAN): 9781138819832
Издательство: Taylor&Francis
Рейтинг:
Цена: 86760.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Noted for its model-comparison approach and unified framework based on the general linear model (GLM), this classic text provides readers with a greater understanding of a variety of statistical procedures including analysis of variance (ANOVA) and regression.


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