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Бутстрап Инференција×Mrežna analiza obavijanja podataka (Network DEA)×
OblastStatistikaAnaliza efikasnosti
PorodicaRegression modelRegression model
Godina nastanka19792000
TvoracBradley EfronFäre & Grosskopf
TipResampling-based inferenceMulti-stage nonparametric efficiency model
Temeljni izvorEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35–49. DOI ↗
Drugi nazivibootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıNetwork Data Envelopment Analysis, Network Efficiency Analysis, Multi-Stage DEA, Ağ Veri Zarflama Analizi
Srodne52
SažetakBootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.Network Data Envelopment Analysis (Network DEA) is a nonparametric efficiency measurement framework introduced by Färe and Grosskopf (2000) that extends classical DEA to multi-stage or multi-division production processes. Rather than treating a decision-making unit as a black box, it explicitly models the internal structure — the divisions and the intermediate products that flow between them — enabling stage-level and overall efficiency scores to be estimated simultaneously within a single coherent model.
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ScholarGateUporedite metode: Bootstrap Inference · Network DEA. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare