Generalized Linear Models for Bounded and Limited Quantitative Variables
Generalized Linear Models for Bounded and Limited Quantitative Variables This book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random…
Specifikacia Generalized Linear Models for Bounded and Limited Quantitative Variables
Generalized Linear Models for Bounded and Limited Quantitative Variables
This book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. The human sciences deal in many variables that are bounded. 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).
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. Ignoring bounds can result in misestimation and improper statistical inference. 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