Generalized Linear Models for European Union Countries Energy Data

• Authors: N. İyıt , H. Yonar , A. Genç
• Languages of publication: EN

Abstracts

EN

The class of generalized linear models is an extension of traditional linear models that allows the mean of the response variable to be linearly dependent on the explanatory variables through a link function. Generalized linear models allow the probability distribution of the response variable to be a member of an exponential family of distributions. The exponential family of distributions include many common discrete and continuous distributions such as normal, binomial, multinomial, negative binomial, Poisson, gamma, inverse Gaussian, etc. Also link functions can be built as identity, logit, probit, power, log, and complementary log-log link functions. In this study, supply, transformation and consumption, imports and exports of solid fuels, oil, gas, electricity, and renewable energy annual data of European Union countries between 2005 and 2013 years are investigated by using generalized linear models. In this case, the response variable is taken as annual complete energy balances of European Union countries as a continuous variable having positive values, and the distribution of the response variable comes from the gamma distribution with log-link function.

Keywords

EN

02.70.Rr; 02.50.-r; 02.50.Sk

Discipline

• 02.50.-r: Probability theory, stochastic processes, and statistics(see also section 05 Statistical physics, thermodynamics, and nonlinear dynamical systems)
• 02.50.Sk: Multivariate analysis
• 02.70.Rr: General statistical methods

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2016
• Volume: 130
• Issue: 1
• Pages: 397-400

Dates

published

2016-07

Contributors

author

N. İyıt

• Selcuk University, Faculty of Science, Department of Statistics, 42031, Alaeddin Keykubat Campus, Konya, Turkey

author

H. Yonar

• Selcuk University, Faculty of Science, Department of Statistics, 42031, Alaeddin Keykubat Campus, Konya, Turkey

author

A. Genç

• Selcuk University, Faculty of Science, Department of Statistics, 42031, Alaeddin Keykubat Campus, Konya, Turkey

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Identifiers

DOI

10.12693/APhysPolA.130.397