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Journals / Hacettepe Journal of Mathematics and Statistics / 2018 / Cilt: 47 - Sayı: 1

A modi ed test for detecting in uential decision-making units in data envelopment analysis

Sinem Tuğba ŞAHİN TEKİN
Irmak ACARLAR
H. Hasan ÖRKCÜ
Pages
129–144
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

A comparative analysis indicates that our method isan eective alternative to the Pastor et al. [12] method to identifyinuential observations in DEA.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In data analyses based on a deterministic or stochastic approach, usingpre-study is very important to identify observations that are not suitableto data in general.
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Key Findings & Data:Our method is amodied version of the one proposed by Pastor et al. [12].
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Conclusion & Impact:A comparative analysis indicates that our method isan eective alternative to the Pastor et al. [12] method to identifyinuential observations in DEA.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In data analyses based on a deterministic or stochastic approach, usingpre-study is very important to identify observations that are not suitableto data in general. Among such observations, those that have ahigh tendency to change results negatively are called inuential observations.In this paper, we propose a new method to identify inuentialobservations in Data Envelopment Analysis (DEA). Our method is amodied version of the one proposed by Pastor et al. [12]. Both methodsare compared by using two well-known data sets and the outcomesare discussed. A comparative analysis indicates that our method isan eective alternative to the Pastor et al. [12] method to identifyinuential observations in DEA.

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Cite This Article

TEKİN, S. T. Ş., ACARLAR, I., ÖRKCÜ, H. H. (2022). A modi ed test for detecting in uential decision-making units in data envelopment analysis. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 1, 129–144. https://ajindex.com/articles/530194

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