So sánh phương pháp

	Super-Efficiency DEA	Bootstrap DEA: Hiệu chỉnh độ chệch và khoảng tin cậy cho điểm hiệu quả
Lĩnh vực	Phân tích hiệu quả	Phân tích hiệu quả
Họ	Regression model	Regression model
Năm ra đời	1993	1998
Người khởi xướng	Andersen & Petersen	Simar & Wilson
Loại	Nonparametric linear programming model	Nonparametric efficiency estimation with bootstrap inference
Công trình gốc	Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261–1264.	Simar, L., & Wilson, P. W. (1998). Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management Science, 44(1), 49–61.
Tên gọi khác	Andersen-Petersen Model, Super-Radial DEA, Ranking DEA, Süper Etkinlik VZA	Bootstrapped DEA, DEA Bootstrap Inference, Simar-Wilson Bootstrap, Bootstrap Sınır Analizi
Liên quan	2	2
Tóm tắt	Super-Efficiency DEA is a nonparametric linear programming extension of classical Data Envelopment Analysis (DEA) introduced by Andersen and Petersen (1993). While standard DEA assigns a maximum efficiency score of 1.0 to all units on the efficient frontier, Super-Efficiency DEA allows efficient units to receive scores greater than 1.0 by temporarily removing the evaluated unit from the reference set. This modification enables full ranking of all decision-making units (DMUs), including those previously indistinguishable at the frontier.	Bootstrap Data Envelopment Analysis (Bootstrap DEA) is a resampling-based extension of standard DEA that provides statistically valid inference for efficiency scores. Introduced by Simar and Wilson in 1998, it addresses the core weakness of classical DEA — its inability to quantify uncertainty in estimated scores — by constructing bootstrap confidence intervals and bias-corrected efficiency estimates from repeatedly resampled pseudo-frontiers.