On Ranking and Selection from Independent Truncated Normal Distributions

William Horrace

Econometrics from University Library of Munich, Germany

Abstract: 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 ineffciency. In particular, probabilistic decision rules allow subsets of firms to be deemed relatively effcient or ineffcient at pre-specified probabilities. An empirical example is provided.

Keywords: Ranking and Selection; Truncated Normal; Stochastic Frontier (search for similar items in EconPapers)
JEL-codes: C12 C44 D24 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2003-06-27
New Economics Papers: this item is included in nep-ecm
Note: Type of Document - Acrobat PDF; prepared on IBM PC ; to print on HP; pages: 31 ; figures: included
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Related works:
Journal Article: On ranking and selection from independent truncated normal distributions (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpem:0306009

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