On Ranking and Selection from Independent Truncated Normal DistributionsEconomics - All Scholarship
- Ranking and selection,
- Truncated normal,
- Stochastic frontier
This paper develops probability statements and ranking and selection rules for independent truncated normal populations. An application to a broad class of parametric stochastic frontier models is considered, where interest centers on making probability statements concerning unobserved firm-level technical inefficiency. In particular, probabilistic decision rules allow subsets of firms to be deemed relatively efficient or inefficient at prespecified probabilities. An empirical example is provided.
Creative Commons LicenseCreative Commons Attribution 3.0
Citation InformationWilliam C Horrace. "On Ranking and Selection from Independent Truncated Normal Distributions" (2004)
Available at: http://works.bepress.com/horrace/24/