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Stochastic Nonparametric Envelopment of Data : Cross-Sectional Frontier Estimation Subject to Shape Constraints

Kuosmanen, Timo; Kortelainen, Mika - 2007

The field of production frontier estimation is divided between the parametric Stochastic Frontier Analysis (SFA) and the deterministic, nonparametric Data Envelopment Analysis (DEA). This paper explores an amalgam of DEA and SFA that melds a nonparametric frontier with a stochastic composite...

Persistent link: https://www.econbiz.de/10014050905

Stochastic non-convex envelopment of data : applying isotonic regression to frontier estimation

Keshvari, Abolfazl; Kuosmanen, Timo - In: European journal of operational research : EJOR 231 (2013) 2, pp. 481-491

Persistent link: https://www.econbiz.de/10009785475

Nonparametric least squares methods for stochastic frontier models

Simar, Léopold; Van Keilegom, Ingrid; Zelenyuk, Valentin - 2014

Persistent link: https://www.econbiz.de/10010348874

Stochastic FDH/DEA estimators for frontier analysis

Simar, Léopold; Zelenyuk, Valentin - In: Journal of productivity analysis 36 (2011) 1, pp. 1-20

Persistent link: https://www.econbiz.de/10009271735

Nonparametric least squares methods for stochastic frontier models

Simar, Léopold; Van Keilegom, Ingrid; Zelenyuk, Valentin - In: Journal of productivity analysis 47 (2017) 3, pp. 189-204

Persistent link: https://www.econbiz.de/10011878343

On relaxing the distributional assumption of stochastic frontier models

Noh, Hohsuk; Van Keilegom, Ingrid - 2019

Persistent link: https://www.econbiz.de/10012050916

A multi-parametric method for bias correction of DEA efficiency estimators

Zervopoulos, Panagiotis D.; Sklavos, Sokratis; Kanas, … - In: Journal of the Operational Research Society 70 (2019) 4, pp. 655-674

Persistent link: https://www.econbiz.de/10012212910

Estimation and efficiency evaluation of stochastic frontier models with interval dependent variables

Hwu, Shih-Tang; Fu, Tsu-tan; Tsay, Wen-jen - In: Journal of productivity analysis : an official journal … 56 (2021) 1, pp. 33-44

Persistent link: https://www.econbiz.de/10012589173

Estimating stochastic production frontiers : a one-stage multivariate semiparametric Bayesian concave regression method

Preciado Arreola, José Luis; Johnson, Andrew L.; Chen, … - In: European journal of operational research : EJOR 287 (2020) 2, pp. 699-711

Persistent link: https://www.econbiz.de/10012293942

Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors

Makieła, Kamil; Mazur, Błażej - In: Journal of productivity analysis : an official journal … 58 (2022) 1, pp. 35-54

Persistent link: https://www.econbiz.de/10013453679