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Volumn 36, Issue 5, 2007, Pages 907-916

Bayesian estimation of stochastic frontier models with multivariate skew t error terms

Author keywords

Bayesian modeling; Markov Chain Monte Carlo method; Regression analysis; Slice sampling

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; RANDOM PROCESSES; REGRESSION ANALYSIS;

EID: 33947644113     PISSN: 03610926     EISSN: 1532415X     Source Type: Journal    
DOI: 10.1080/03610920601041630     Document Type: Article
Times cited : (10)

References (15)
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    • Branco, M.1    Dey, D.K.2
  • 7
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    • Posterior analysis of stochastic frontier models using Gibbs sampling
    • Koop, G., Steel, M. F. J., Osiewalski, J. (1995). Posterior analysis of stochastic frontier models using Gibbs sampling. Computational Statistics 10:353-373.
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    • Pitfalls of normal-gamma stochastic frontier models
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    • A new class of multivariate skew distribution with application to Bayesian regression models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.