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Multiple Objective Optimization Problems in Statistics
Author(s) -
Narula Subhash C.,
Wellington John F.
Publication year - 2002
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/1475-3995.00364
Subject(s) - optimization problem , mathematical optimization , computer science , stochastic optimization , metaheuristic , sample (material) , mathematics , chromatography , chemistry
Many statistical problems can be viewed as optimization problems. A careful and detailed analysis of these procedures reveals that many of these problems are essentially multiple objective optimization problems. Furthermore, most of the standard statistical procedures aim at finding an efficient (non‐dominated) solution. Our objective in this paper is to introduce some of the single sample statistical problems that can be formulated and solved as multiple objective optimization problems.