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Regression Models for Categorical and Count Data, Peter Martin


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Автор: Peter Martin
Название:  Regression Models for Categorical and Count Data
ISBN: 9781529762693
Издательство: Sage Publications
Классификация: ISBN-10: 1529762693
Обложка/Формат: Ebook
Страницы: 272
Вес: 0.00 кг.
Дата издания: 15.03.2022
Серия: Reference/Librarianship
Язык: English
Размер: 186 x 231 x 21
Читательская аудитория: College/higher education
Ключевые слова: Research & information: general,Research methods: general,Social research & statistics
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Поставляется из: Англии
Описание:

This text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpful graphs, it covers both the theoretical underpinnings of these methods as well as their application, giving you the skills needed to apply them to your own research. It offers guidance on:

·       Using logistic regression models for binary, ordinal, and multinomial outcomes

·       Applying count regression, including Poisson, negative binomial, and zero-inflated models

·       Choosing the most appropriate model to use for your research

·       The general principles of good statistical modelling in practice

Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey



Автор: Liu, Xing
Название: Categorical data analysis and multilevel modeling using r
ISBN: 1544324901 ISBN-13(EAN): 9781544324906
Издательство: Sage Publications
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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.


Exact Statistical Inference for Categorical Data

Автор: Guogen Shan
Название: Exact Statistical Inference for Categorical Data
ISBN: 0081006810 ISBN-13(EAN): 9780081006818
Издательство: Elsevier Science
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Цена: 58380.00 T
Наличие на складе: Нет в наличии.
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Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an ideal reference for users who are interested in having the convenience of applying asymptotic approaches, with less computational time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data analysis to improve the performance of the testing procedure.

  • Demonstrates how exact inference can be used to analyze data in 2 by 2 tables
  • Discusses the analysis of data in 2 by k tables using exact inference
  • Explains how exact inference can be used in genetics

Regression models for categorical and count data

Автор: Martin, Peter
Название: Regression models for categorical and count data
ISBN: 1529761263 ISBN-13(EAN): 9781529761269
Издательство: Sage Publications
Рейтинг:
Цена: 28500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Regression Models for Categorical, Count, and Related Variables: An Applied Approach

Автор: Hoffmann John P.
Название: Regression Models for Categorical, Count, and Related Variables: An Applied Approach
ISBN: 0520289293 ISBN-13(EAN): 9780520289291
Издательство: Wiley
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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.

An Introduction to Categorical Data Analysis, 3rd Edition

Автор: Agresti, Alan,
Название: An Introduction to Categorical Data Analysis, 3rd Edition
ISBN: 1119405262 ISBN-13(EAN): 9781119405269
Издательство: Wiley
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Цена: 128780.00 T
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Описание:

A valuable new edition of a standard reference

The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.

Adding to the value in the new edition is:

- Illustrations of the use of R software to perform all the analyses in the book

- A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis

- New sections in many chapters introducing the Bayesian approach for the methods of that chapter

- More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets

- An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises

Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more.

An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.


Regression Models for Categorical Dependent Variables Using Stata, Third Edition

Автор: Long, J. Scott
Название: Regression Models for Categorical Dependent Variables Using Stata, Third Edition
ISBN: 1597181110 ISBN-13(EAN): 9781597181112
Издательство: Taylor&Francis
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Цена: 85740.00 T
Наличие на складе: Нет в наличии.

Abstract Calculus: A Categorical Approach

Автор: Garcia-Pacheco Francisco Javier
Название: Abstract Calculus: A Categorical Approach
ISBN: 036776220X ISBN-13(EAN): 9780367762209
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Any calculus text for undergraduate students majoring in Engineering, Mathematics or Physics deals with the classical concepts of limits, continuity, differentiability, optimization, integrability, summability, and approximation. This book covers the exact same topics but from a categorical perspective.

Regression Analysis for Categorical Moderators

Автор: Aguinis, Herman
Название: Regression Analysis for Categorical Moderators
ISBN: 1572309695 ISBN-13(EAN): 9781572309692
Издательство: Taylor&Francis
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Цена: 48990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Marginal Models

Автор: Wicher Bergsma; Marcel A. Croon; Jacques A. Hagena
Название: Marginal Models
ISBN: 1441918736 ISBN-13(EAN): 9781441918734
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Marginal models are often the best way of answering research questions involving dependent observations. This comprehensive overview of the basic principles of marginal modeling offers a wide range of possible applications through many real world examples.

Graphical Models for Categorical Data

Автор: Roverato Alberto
Название: Graphical Models for Categorical Data
ISBN: 1108404960 ISBN-13(EAN): 9781108404969
Издательство: Cambridge Academ
Рейтинг:
Цена: 31670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.

Applications of Regression for Categorical Outcomes Using R

Автор: Melamed, David
Название: Applications of Regression for Categorical Outcomes Using R
ISBN: 0367894637 ISBN-13(EAN): 9780367894634
Издательство: Taylor&Francis
Рейтинг:
Цена: 158230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Applications of Regression for Categorical Outcomes Using R

Автор: Melamed, David
Название: Applications of Regression for Categorical Outcomes Using R
ISBN: 1032509511 ISBN-13(EAN): 9781032509518
Издательство: Taylor&Francis
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Цена: 63280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.


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