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Further improvements in the calculation of Censored Quantile Regressions

โœ Scribed by Mehdi Hosseinkouchack

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
319 KB
Volume
235
Category
Article
ISSN
0377-0427

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โœฆ Synopsis

are very powerful inferencing tools in economics and engineering. As the calculation of censored quantile regressions involves minimizing a nonconvex and nondifferentiable function, global optimization techniques can be the only breakthroughs. The first implementation of a global optimization technique, namely Threshold Accepting of Winker (1998, 2007), is challenged by the Genetic Algorithm (GA) in this paper. The results show that the GA provides substantial improvements over Threshold Accepting for cases with randomly distributed censoring points.

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