Regression models for categorical and count data / Peter Martin.
Material type:
TextSeries: The sage quantitative research kit | The SAGE Quantitative Research KitPublisher: London : SAGE Publications Ltd, [2021]Copyright date: ©2021Edition: First editionDescription: xix, 338 pContent type: - text
- computer
- online resource
- 9781529682625
- 1529682622
- 9781529762679
- 1529762677
- 9781529762686
- 1529762685
- 001.42 23
- QA76.9 .Q4M37 2021
- Cataloging Notes: 20251030 STAMIU-0199STAMIU-0199
| Item type | Current library | Collection | Call number | Status | Barcode | |
|---|---|---|---|---|---|---|
Book
|
AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY General Stacks | Non-fiction | QA76.9 .Q4M37 2021 (Browse shelf(Opens below)) | Available | 30186 |
Intro -- Half Title -- Acknowledgements -- Title Page -- Copyright Page -- Contents -- Illustration List -- About the Author -- Acknowledgements -- Preface -- 1 Introduction -- 2 Logistic Regression -- 3 Ordinal Logistic Regression: The Generalised Ordered Logit Model -- 4 Multinomial Logistic Regression -- 5 Regression Models for Count Data -- 6 The Practice of Modelling -- Glossary -- References -- Index.
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.
Cataloging Notes: 20251030 STAMIU-0199STAMIU-0199
Description based on print version record.
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