Generalized Linear Models for Bounded and Limited Quantitative Variables : Quantitative Applications in the Social Sciences - Michael Smithson

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Generalized Linear Models for Bounded and Limited Quantitative Variables

By: Michael Smithson, Yiyun Shou

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Paperback | 2 April 2020

At a Glance

Paperback
136 Pages

Dimensions(cm)
14 x 5 x 0.5

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The 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.

Industry Reviews

This book provides a thorough and accessible look at an important class of statistical models. It communicates intuition well and shows through numerous examples that understanding how to analyze bounded outcome variables is useful for applied researchers. -- Jeff Harden The authors are leaders in the world-wide effort to extend and tailor the generalized linear model to variables that are bounded and not normally distributed. The discussion of models for data recorded as proportions is worth the price of admission. -- Paul Johnson

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