Research on Application of Grey Prediction Theory for Scientists and Technicians Forecasting: Evidence from Henan Province in China

Wuwei Li
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Abstract

Based on the statistical data during the period from 2001 to 2004 released by Henan Statistical Bureau in China, this paper aims to predict the amount of scientists and technicians of Henan province in China by the usage of GM (1, 1) model with the four items. The result of this empirical study is that the grey prediction theory can fit the scientists and technicians amount development precisely in Henan province. The accuracy of the prediction result is above 90% and corresponds with a distinction, which the grey theory can meet expectations with small samples or data. Research results show that this model established in this paper could provide valuable information for policy makers in their efforts to make appropriate technological policies.
灰色预测理论在科技人员预测中的应用研究——以河南省为例
本文以河南省统计局2001 - 2004年统计数据为基础,采用GM(1,1)模型对河南省科技人员数量进行了四项预测。实证研究结果表明,灰色预测理论能较好地拟合河南省科技人员数量的发展。预测结果的准确率在90%以上,对应于一个区别,灰色理论可以满足小样本或数据的期望。研究结果表明,本文建立的模型可以为决策者制定合适的技术政策提供有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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