Details of Research Outputs

TitleSome global optimization algorithms in statistics
Creator
Date Issued1997
Conference NameThe Second International Symposium on Operations Research with Applications in Engineering, Technology, and Management
Source PublicationLecture Notes in Operations Research: Operations research and its applications : second international symposium, ISORA'96 Guilin, P.R. China, December 11-14, 1996, proceedings
EditorDing-Zhu Du, Xiang-Sun Zhang, Kan Cheng
ISBN7506220237
Pages14-24
Conference DateDecember 11-14, 1996
Conference PlaceGuilin, China
Publication PlaceBeijing
PublisherWorld Publishing Corporation
Abstract

There are many problems in statistics that need some powerful global optimization methods. This paper reviews two efficient methods: SNTO (sequential number-theoretic methods for optimization) and TA (the threshold accepting algorithm). A discussion is given of the applications of these methods to various statistics problems: maximum likelihood estimation, regression analysis, model selection, experimental design, projection pursuit, etc.

Keywordexperimental design nonlinear regression model projection pursuit simulated annealing threshold accepting global optimization number-theoretic methods
Language英语English
Citation statistics
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/5667
CollectionResearch outside affiliated institution
Affiliation
1.Department of mathematics, Hong Kong Baptist University
2.Institute of applied mathematics, Chinese Academy of Sciences
3.Fakultat fur Wirtschaftswissenschaften and Statistik, Universitat Konstanz
Recommended Citation
GB/T 7714
Fang, Kaitai,Hickernell, Fred J.,Winker, Peter. Some global optimization algorithms in statistics[C]//Ding-Zhu Du, Xiang-Sun Zhang, Kan Cheng. Beijing: World Publishing Corporation, 1997: 14-24.
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