| 缺失数据的插补调整方法 |
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| 引用本文： | 梁怡.缺失数据的插补调整方法[J].西安文理学院学报,2009,12(1):74-76. |
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| 作者姓名： | 梁怡 |
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| 作者单位： | 天津财经大学,统计学院,天津,300222;西安职业技术学院,机电工程系,陕西,西安,710032
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| 摘 要： | 统计调查中，经常会遇到数据缺失的现象．缺失数据会影响统计分析的质量．文中提出了一种先对数据的缺失机制进行统计检验，针对是否存在显著分布偏性，分别采取相应的插补算法的统计方法．该系统算法可以全面处理离散数据和时间序列数据的不同缺失机制的缺失数据．
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| 关 键 词： | 缺失数据 多重插补 时间序列 平均差 |
Interpolation and Adjustment Method of Missing Data |
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| LIANG Yi.Interpolation and Adjustment Method of Missing Data[J].Journal of Xi‘an University of Arts & Science:Natural Science Edition,2009,12(1):74-76. |
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| Authors: | LIANG Yi |
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| Institution: | LIANG Yi ( 1. Institute of Statistics,Tianjin University of Finance and Economics,Tianjin 300222, China; 2. Department of Mechanical and Electrical Engineering, Xi＇an Vocational Technical College, Xi＇an 710032, China) |
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| Abstract: | In the statistical survey, the phenomenon of missing data frequently occurs. Missing data will affect the quality of statistical analysis. This article proposed a statistical method that carries on the statistical test first to the data flaw mechanism, and then adopts the corresponding interpolation algorithm in view of the existence leaning. This algorithm may make a comprehensive approach to the missing data of discrete data and the time series. |
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| Keywords: | missing data multiple interpolations time series average error |
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