Energy performance evaluation of OECD countries using Bayesian stochastic frontier analysis and Bayesian network classifiers
JOURNAL OF APPLIED STATISTICS, cilt.45, sa.1, ss.17-25, 2018 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 45 Sayı: 1
- Basım Tarihi: 2018
- Doi Numarası: 10.1080/02664763.2016.1257586
- Dergi Adı: JOURNAL OF APPLIED STATISTICS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
- Sayfa Sayıları: ss.17-25
- Anahtar Kelimeler: Bayesian, stochastic frontier analysis, Bayesian network, energy, PRODUCTION EFFICIENCY, INFERENCE, MODELS, INDUSTRY
- Ondokuz Mayıs Üniversitesi Adresli: Evet
Özet
More recently a large amount of interest has been devoted to the use of Bayesian methods for deriving parameter estimates of the stochastic frontier analysis. Bayesian stochastic frontier analysis (BSFA) seems to be a useful method to assess the efficiency in energy sector. However, BSFA results do not expose the multiple relationships between input and output variables and energy efficiency. This study proposes a framework to make inferences about BSFA efficiencies, recognizing the underlying relationships between variables and efficiency, using Bayesian network (BN) approach. BN classifiers are proposed as a method to analyze the results obtained from BSFA.