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Generalized Linear Models for Bounded and Limited Quantitative Variables

Generalized Linear Models for Bounded and Limited Quantitative Variables

by Yiyun Shou
Title:
Generalized Linear Models for Bounded and Limited Quantitative Variables
Author:
Yiyun Shou
Series (if any):
Quantitative Applications in the Social Sciences
Format:
Paperback
Number of pages:
136 pages
Publisher:
SAGE Publications Inc
ISBN-13:
9781544334530
EAN:
9781544334530
Publication Date:
04/12/2019
Classifications:
Research and information: general
Weight (g):
290
Dimensions (mm):
142 x 217 x 12
Publication Country:
United Kingdom
Language:
English
Condition:
New
Price:£38.84
1 copies in stock
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Description

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.

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