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Many problems in statistics and econometrics offer themselves naturally to
optimization in statistics and econometrics, followed by detailed discussion of a relatively new and very powerful optimization heuristic, threshold accepting. The final part consists of many applications of the methods described earlier, encompassing experimental design, model selection, aggregation of tiime series, and censored quantile regression models. Those researching and working in econometrics, statistics and operations research are given the tools to apply optimization heuristic methods in their work. Postgraduate students of statistics and econometrics will find the book provides a good introduction to optimization heuristic methods.
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