Do starting values really matter? Development of a genetic algorithm approach

Glynn T. Tonsor; Terry Kastens

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Do starting values really matter? Development of a genetic algorithm approach

机译：起始值真的重要吗？遗传算法方法的发展

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Evaluating the impact of using different starting conditions in econometric models is increasingly critical. This study demonstrates implications of using alternative starting value conditions and how these implications vary with econometric model complexity. This piece also proposes a universal approach in developing appropriate starting values for use in subsequent model estimation.

机译：评估计量经济学模型中使用不同起始条件的影响越来越重要。这项研究表明了使用替代起始值条件的含义以及这些含义如何随计量经济学模型复杂性的变化而变化。本文还提出了一种通用方法，用于开发适当的起始值以用于后续的模型估计。

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《Applied Financial Economics Letters》 |2009年第9期|781-784|共4页
作者
Glynn T. Tonsor; Terry Kastens;
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Department of Agricultural Economics, Michigan State University, 317-B Agriculture Hall, East Lansing, MI 48824-1039;

Department of Agricultural Economics, Kansas State University, Manhattan, KS;

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1. Do starting values really matter? Development of a genetic algorithm approach [J] . Glynn T. Tonsor, Terry Kastens Applied Economics Letters . 2009,第8期

机译：起始值真的重要吗？遗传算法方法的发展
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3. A new approach to generate weighted fuzzy rules using genetic algorithms for estimating null values [J] . Shyi-Ming Chen, Chung-Ming Huang Expert systems with applications . 2008,第3期

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7. How Much Do Starting Values Really Matter? An Empirical Comparison of Genetic Algorithm and Traditional Approaches [O] . Tonsor Glynn T., Kastens Terry L. 100

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Do starting values really matter? Development of a genetic algorithm approach

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