ScholarGate
Assistent

Methoden vergleichen

Prüfen Sie die ausgewählten Methoden nebeneinander; abweichende Zeilen sind hervorgehoben.

Bootstrap-Inferenz×Netzwerk Data Envelopment Analysis (Network DEA)×
FachgebietStatistikEffizienzanalyse
FamilieRegression modelRegression model
Entstehungsjahr19792000
UrheberBradley EfronFäre & Grosskopf
TypResampling-based inferenceMulti-stage nonparametric efficiency model
Wegweisende QuelleEfron, 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 ↗
Aliasnamenbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıNetwork Data Envelopment Analysis, Network Efficiency Analysis, Multi-Stage DEA, Ağ Veri Zarflama Analizi
Verwandt52
ZusammenfassungBootstrap 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.
ScholarGateDatensatz
  1. v1
  2. 2 Quellen
  3. PUBLISHED
  1. v1
  2. 1 Quellen
  3. PUBLISHED

Zur Suche Folien herunterladen

ScholarGateMethoden vergleichen: Bootstrap Inference · Network DEA. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare