文章摘要
凌 云, 吕王勇, 张里静.基于交互验证的数据质量评估方法的研究Journal of Water Resources and Water Engineering[J].,2014,25(1):214-216
基于交互验证的数据质量评估方法的研究
Study on assessment method of data quality based on cross-validation
  
DOI:
中文关键词: 数据质量评估; 最小均方误差  交互验证; 生活用水量; 成都市
英文关键词: assessment of data quality  minimum mean square error  cross-validation  demestic water consumption  Chengdu
基金项目:四川省教育厅重点项目(12ZA137); 四川省重点实验室(PJ201107)
Author NameAffiliation
LING Yun, LU Wangyong, ZHANG Lijing (四川师范大学 数学与软件科学学院 四川 成都 610068) 
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中文摘要:
      数据是决策者分析问题的重要依据,其质量的高低直接影响统计分析的科学性和决策的正确性。文章提出基于交互验证的数据质量评估方法,在最小均方误差准则下,建立最优的交互验证模型,对数据质量作评估。最后,通过对成都市的生活用水量的实证分析表明,运用交互验证方法,可使数据质量的评估更加合理,符合实际情况。
英文摘要:
      Data is an important basis for decision-maker to analyze problems.The data quality straightly affects the scientificalness of statistical analysis and the correctness of policy-making. The article proposed a method of data quality assessment based on cross-validation and established the optimal model of cross-validation to assess data quality in criterion of the minimum mean square error. Finally, through the empirical analysis of Chengdu domestic water consumption,the results indicated that the use of cross-validation method made the assessment of data quality more reasonable and conformed the actual situation.
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