
Generalized Linear Models for Bounded and Limited Quantitative Variables
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Generalized Linear Models for Bounded and Limited Quantitative Variables
About this book
This book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. Examples of bounded variables include the percentage of a population eligible to vote (bounded from 0 to 100), or reaction time in milliseconds (bounded below by 0). The human sciences deal in many variables that are bounded. Ignoring bounds can result in misestimation and improper statistical inference. Michael Smithson and Yiyun Shou?s book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title
- Series
- Publisher Note
- Title Page
- Copyright Page
- CONTENTS
- Series
- Contributors
- Acknowledgements
- Chapter 1. Introduction and Overview
- Chapter 2. Models for Singly Bounded Variables
- Chapter 3. Models for Doubly Bounded Variables
- Chapter 4. Quantile Models for Bounded Variables
- Chapter 5. Censored and Truncated Variables
- CHAPTER 6. Extensions and Conclusions
- References
- Index