Abstract
This study uses a Bayesian stochastic frontier model to analyze the level of technical efficiency in health care foodservice operations. Various distributional assumptions are assumed for the random component part of the model including the half-normal, gamma, truncated normal and exponential distributions. The results from a sample of 101 health care foodservice operations show the existence of the technical inefficiency in the sample and identified the statistical differences between the average efficiency generated by the various distributional assumptions. Finally, it was concluded that the rank of technical efficiency is statistically invariant to the various distributions.
| Original language | English |
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| Title of host publication | Proceedings of the 22nd International Workshop on Statistical Modelling : July 2-6 2007, Barcelona |
| Publisher | IDESCAT |
| Number of pages | 4 |
| ISBN (Print) | 9788469059432 |
| Publication status | Published - 2007 |
| Event | International Workshop on Statistical Modelling - Duration: 16 Jul 2012 → … |
Conference
| Conference | International Workshop on Statistical Modelling |
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| Period | 16/07/12 → … |
Keywords
- Bayesian statistical decision theory
- food service
- stochastic analysis
- health facilities
- evaluation