Regression models for categorical and count data / by Peter Martin.
By: Martin, Peter [author.]
Material type:
TextSeries: The Sage quantitative research kitPublisher: London ; Thousand Oaks, California : SAGE Publications, [2021]Description: xx, 247 p. : illustrations (black & white) ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781529761269Subject(s): Regression analysis -- Mathematical models | Categories (Mathematics) -- Data processing | Quantitative research | Regression analysis | Mathematical models | Regression Analysis | Models, Theoretical | Recherche quantitative | Analyse de régression | Modèles mathématiques | mathematical models | Mathematical models | Quantitative research | Regression analysisAdditional physical formats: Electronic version:: Regression models for categorical and count data.DDC classification: 519.536 LOC classification: QA278.2 | .M376 2021Summary: 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. -- Provided by publisher.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
BK
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Mangalore University Library | 519.536 MAR (Browse shelf) | Available | 157601 |
Includes bibliographical references and index.
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. -- Provided by publisher.
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