EconPapers    
Economics at your fingertips  
 

Fast and efficient computation of directional distance estimators

Cinzia Daraio, Leopold Simar and Paul Wilson

No 2019022, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)

Date: 2019-01-01
Note: In : Annals of Operations Research, https://doi.org/10.1007/s10479-019-03163-9
References: Add references at CitEc
Citations: View citations in EconPapers (5)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Fast and efficient computation of directional distance estimators (2020) Downloads
Working Paper: Fast and Efficient Computation of Directional Distance Estimators (2018) Downloads
Working Paper: Fast and Efficient Computation of Directional Distance Estimators (2018) Downloads
Working Paper: Fast and Efficient Computation of Directional Distance Estimators (2018) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aiz:louvar:2019022

Access Statistics for this paper

More papers in LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) Voie du Roman Pays 20, 1348 Louvain-la-Neuve (Belgium). Contact information at EDIRC.
Bibliographic data for series maintained by Nadja Peiffer ().

 
Page updated 2025-03-22
Handle: RePEc:aiz:louvar:2019022