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Analiza omotača podataka (CCR model) za rangiranje temeljeno na učinkovitosti×Stohastička analiza granične proizvodnje (SFA)×
PodručjeDonošenje odlukaEkonometrija
ObiteljMCDMRegression model
Godina nastanka19781977
TvoracCharnes, A., Cooper, W. W., Rhodes, E.Aigner, Lovell & Schmidt (1977); Battese & Coelli (1995) for panels
VrstaNon-parametric efficiency frontier (CCR model)Frontier regression model
Temeljni izvorCharnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗Aigner, D., Lovell, C.A.K. & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21–37. DOI ↗
Drugi naziviSFA, stochastic frontier model, stochastic production frontier, Stokastik Sınır Analizi (SFA)
Srodne03
SažetakDEA (Data Envelopment Analysis (CCR model) for efficiency-based ranking) is a dea multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W., Rhodes, E. in 1978. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.Stochastic Frontier Analysis is a frontier regression model, introduced by Aigner, Lovell and Schmidt in 1977, that estimates a production, cost, or profit function while separating each unit's technical inefficiency from ordinary statistical noise. It splits the error term into a symmetric random component and a one-sided inefficiency component, producing firm- or country-level efficiency scores.
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ScholarGateUsporedite metode: DEA · Stochastic Frontier Analysis. Preuzeto 2026-06-25 s https://scholargate.app/hr/compare