Regression models for categorical and count data /
by Martin, Peter,
Series: The Sage quantitative research kit Published by : Sage , (London :) Physical details: xx, 247 pages : illustrations (black & white) ; 25 cm. ISBN:9781529761269; 1529761263.| Item type | Current location | Call number | Status | Date due | Barcode |
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Books
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University of Sargodha-Central Library | 519.536 MAR (Browse shelf) | Available | 103025 |
Browsing University of Sargodha-Central Library Shelves Close shelf browser
| 519.536 EDI An introduction to linear regression and correlation / | 519.5/36 KOQ Quantile regression / | 519.536 KUA Applied linear statistical models. | 519.536 MAR Regression models for categorical and count data / | 519.536 MOI Introduction to linear regression analysis. | 519.538 MIA Applied statistics | 519.54 ISI statistical inference via data science |
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. --
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