Generalized linear models for bounded and limited quantitative variables / Michael Smithson, Yiyun Shou.

Author/creator Smithson, Michael
Other author Shou, Yiyun.
Format Electronic
Publication InfoLos Angeles: SAGE, [2020]
Descriptionxiii, 117 pages : illustrations ; 22 cm.
Supplemental ContentFull text available from SAGE Research Methods Core
Subjects

Contents Models for singly-bounded variables -- Models for doubly-bounded variables -- Quantile models for bounded variables -- Censored and truncated variables -- Extensions and conclusions.
Abstract "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 at www.sagepub.com/smithsonshou"-- Provided by publisher.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2019028200
ISBN9781544334530 (paperback)
ISBN(epub)
ISBN(epub)
ISBN(adobe pdf)

Availability

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Electronic Resources Access Content Online ✔ Available