通过合并单变量统计监测高遗漏率的多变量数据

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY
Youngrae Kim, Seonghun Cho, Johan Lim
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引用次数: 0

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Monitoring multivariate data with high missing rate by pooling univariate statistics

Monitoring multivariate data with high missing rate by pooling univariate statistics
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来源期刊
Journal of the Korean Statistical Society
Journal of the Korean Statistical Society 数学-统计学与概率论
CiteScore
1.30
自引率
0.00%
发文量
37
审稿时长
3 months
期刊介绍: The Journal of the Korean Statistical Society publishes research articles that make original contributions to the theory and methodology of statistics and probability. It also welcomes papers on innovative applications of statistical methodology, as well as papers that give an overview of current topic of statistical research with judgements about promising directions for future work. The journal welcomes contributions from all countries.
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