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。
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。
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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