When mineral resources targets are predicted with several statistical models, the results are seldom coincidental; therefore, a further statistical integration is needed.

当用多种统计数学模型预测矿产资源靶区时，预测结果往往是不同的，需要进一步的统计综合。

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Firstly, the thesis gives the main affecting factors of statistical data quality on the basis of the integration of literatures and the practical situation of China.

首先，在详细总结学者研究结果的基础上，结合我国的实际情况，确定了影响企业统计数据质量的非技术性因素。

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And statistical information is the integration of history information and basic information. It is epurated from university basic data.

统计信息是学校历史信息和基本信息的综合汇总，是对学校基础数据的提炼。

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