Martin, Peter
Regression models for categorical and count data/ Peter Martin - London: Sage, 2021. - xx,247p.
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
9781529761269
Regression analysis - Mathematical models
Categories ( Mathematical) - Data processing
Quantitative research
Mathematical models
519.536 / MAR
Regression models for categorical and count data/ Peter Martin - London: Sage, 2021. - xx,247p.
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
9781529761269
Regression analysis - Mathematical models
Categories ( Mathematical) - Data processing
Quantitative research
Mathematical models
519.536 / MAR