An adaptation of Random Forest to estimate convex non-parametric production technologies : an empirical illustration of efficiency measurement in education
Victor J. España, Juan Aparicio and Xavier Barber
| Year of publication: |
2025
|
|---|---|
| Authors: | España, Victor J. ; Aparicio, Juan ; Barber, Xavier |
| Published in: |
International transactions in operational research : a journal of the International Federation of Operational Research Societies. - Oxford : Wiley-Blackwell, ISSN 1475-3995, ZDB-ID 2019815-2. - Vol. 32.2025, 5, p. 2523-2546
|
| Subject: | data envelopment analysis | importance of variables | machine learning | prediction | Random Forest | Data-Envelopment-Analyse | Data envelopment analysis | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Technische Effizienz | Technical efficiency | Prognoseverfahren | Forecasting model | Forstwirtschaft | Forestry | Schätzung | Estimation | Nichtparametrisches Verfahren | Nonparametric statistics |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1111/itor.13561 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015375682