Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Log-Linear Regression

  • Jialie ShenEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_543


In statistic, log-linear regression is a powerful regression technique that models relationship between a dependent variable or regressand Y, explanatory variable or regressor X = { x 1, … , x I} and a random term ε by fitting a log-linear model,
$$ \ln Y={\alpha}_{+}{\alpha}_1 \ln {x}_1+{\alpha}_2 \ln {x}_2+\dots .\\ {}+{\alpha}_I \ln {\alpha}_I+\varepsilon $$
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Recommended Reading

  1. 1.
    McCullagh P, Nelder J. 1Generalized linear models. London: Chapman & Hall/CRC; 1989.zbMATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Singapore Management UniversitySingaporeSingapore

Section editors and affiliations

  • Xiaofang Zhou
    • 1
  1. 1.School of Inf. Tech. & Elec. Eng.Univ. of QueenslandBrisbaneAustralia