00000nam a2200000 i 4500 UP-1686042739785113405 Buklod 20250421160723.0 m |o d | cr ||||||||||| 250421s2021 xxk a b 001 0 eng d 781529761269 paperback 21947375 IR-12989 MegaTEXTS Php3,350 DLC DSOLAIR rda eng QA 278.2 M37 2021 Martin, Peter author. Regression models for categorical and count data Peter Martin. London SAGE Publications [2021] xiv, 247 pages illustrations 25 cm. text txt rdacontent unmediated rdamedia volume nc rdacarrier The Sage quantitative research kit 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. Analyse de régression. Mathematical models. Quantitative research. Regression analysis. Categories (Mathematics) Data processing. Regression analysis Mathematical models. Models, Theoretical. The Sage quantitative research kit FO UPD DSOLAIR QA 278.2 M37 2021 Book