Ordinal principal component analysis for a common ranking of stochastic frontiers

DOI10.1080/02664763.2016.1163530OpenAlexW2314522532MaRDI QIDQ5138175

Enrica Sepe, Sergio Scippacercola

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1163530

zbMATH Keywords

rankingtechnical efficiencyordinal scaleproduction unitmultiple technical efficiency

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Probabilistic frontier regression models for binary type output data

Uses Software

• frontier
• JGAP

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Factor analysis and AIC
• Ordinal principal component analysis. Theory and an application.
• Wald Criteria for Jointly Testing Equality and Inequality Restrictions
• Data Envelopment Analysis
• Learning in economics. Analysis and applications of genetic algorithms

This page was built for publication: Ordinal principal component analysis for a common ranking of stochastic frontiers