Rank test of trend when data are incomplete
Rank test of trend when data are incomplete
复制标题
数据不完整时的趋势排名检验
DOI：
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发表时间：
1994
期刊：
影响因子：
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通讯作者：
P. Cabilio
中科院分区：
文献类型：
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作者：
M. Alvo;P. Cabilio
考虑这样一种情况，在规则间隔的时间点进行观察，但实际上有几个观察结果缺失。希望确定数据是否呈现趋势。当数据集是完整的，然后一个众所周知的秩检验是基于斯皮尔曼相关性。对于缺失观测值的情况，提出了一种新的趋势检验，它类似于完全情况下的斯皮尔曼检验。新检验与单纯斯皮尔曼检验（简单地删除所有缺失的观测值）之间的比较表明，新检验在检测趋势方面更敏感。
Consider a situation where observations are to be taken at regularly spaced time points, but in fact several of the observations are missing. It is wished to determine whether the data exhibit a trend. When the data set is complete, then a well known rank test is based on Spearman correlation. For the case of missing observations a new test of trend is proposed which is analogous to the Spearman test in the complete case. Comparisons between this new test and the naive Spearman test, which simply deletes all missing observations, indicate that the new test is more sensitive in detecting trends.