A statistical test for outlier identification in data envelopment analysis
| Autor: | Morteza Khodabin, Reza Kazemi Matin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | Iranian Journal of Optimization, Vol 06, Iss 1, Pp 536-554 (2010) |
| Druh dokumentu: | article |
| ISSN: | 2588-5723 2008-5427 |
| Popis: | In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the presented method, each observation is deleted from the sample once and the resulting linear program is solved, leading to a distribution of efficiency estimates. Based on the achieved distribution, a pared test is designed to identify the potential outlier(s). We illustrate the method through a real data set. The method could be used in a first step, as an exploratory data analysis, before using any frontier estimation. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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