| 1 (2007) | |||||||||||||||||
Abstract | |||||||||||||||||
| 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. | |||||||||||||||||
Details der Publikation | |||||||||||||||||
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