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बूटस्ट्रैप अनुमान×नेटवर्क डेटा एनवेलपमेंट एनालिसिस (नेटवर्क डीईए)×
क्षेत्रसांख्यिकीदक्षता विश्लेषण
परिवारRegression modelRegression model
उद्भव वर्ष19792000
प्रवर्तकBradley EfronFäre & Grosskopf
प्रकारResampling-based inferenceMulti-stage nonparametric efficiency model
मौलिक स्रोतEfron, 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 ↗
उपनामbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıNetwork Data Envelopment Analysis, Network Efficiency Analysis, Multi-Stage DEA, Ağ Veri Zarflama Analizi
संबंधित52
सारांशBootstrap 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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