Data envelopment analysis for different measures of efficiency in the retail industry
De Angelis, Naima (A.A. 2021/2022) Data envelopment analysis for different measures of efficiency in the retail industry. Tesi di Laurea in Data analysis for business, Luiss Guido Carli, relatore Francesco Iafrate, pp. 65. [Bachelor's Degree Thesis]
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Abstract/Index
Methodology. Dataset. Data envelopment analysis. Scale assumption. BCC model. Bootstrap. Window analysis. Clustering. K-means. Hierchical clustering. Modelling with R. Import dataset. Ratios analysis. Data envelopement analysis. Clustering.
References
Bibliografia: pp. 64-65.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Data analysis for business |
| Thesis Supervisor: | Iafrate, Francesco |
| Academic Year: | 2021/2022 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 04 Oct 2022 14:52 |
| Last Modified: | 04 Oct 2022 14:52 |
| URI: | https://tesi.luiss.it/id/eprint/33552 |
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