Stochastic data envelopment analysis: a quantile regression approach to estimate the production frontier
type: Item
instance of: scholarly article
title: Stochastic data envelopment analysis: a quantile regression approach to estimate the production frontier
zbMATH Open document ID: 1430.90406
author: Samah Jradi
author: John Ruggiero
published in: European Journal of Operational Research
publication date: 2019-06-26T00:00:00Z
Mathematics Subject Classification ID: 90C08
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 90C15
zbMATH DE Number: 7073775
zbMATH Keywords: DEA
zbMATH Keywords: stochastic DEA
describes a project that uses: sn
MaRDI profile type: Publication
full work available at URL: j.ejor.2018.11.017
OpenAlex ID: W2900289679
cites work: Efficiency Estimation of Production Functions
cites work: On the Estimation of Production Frontiers: Maximum Likelihood Estimation of the Parameters of a Discontinuous Density Function
cites work: Formulation and estimation of stochastic frontier production function models
cites work: The skew-normal and related families. With the collaboration of Antonella Capitanio.
cites work: Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
cites work: Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
cites work: Measuring the efficiency of decision making units
cites work: Nonparametic kernel regression with multiple predictors and multiple shape constraints
cites work: Representation theorem for convex nonparametric least squares
cites work: Data Envelopment Analysis as Nonparametric Least-Squares Regression
cites work: Efficiency measurement in the stochastic frontier model
cites work: Efficiency estimation and error decomposition in the stochastic frontier model: A Monte Carlo analysis
cites work: Nonparametric quantile frontier estimation under shape restriction
Wikidata QID: Q128964037
DOI: 10.1016/J.EJOR.2018.11.017
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description: scientific article; zbMATH DE number 7073775