SPURIOUS CORRELATION - A CAUSAL INTERPRETATION
成果类型：
Article
署名作者：
SIMON, HA
刊物名称：
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
ISSN/ISSBN：
0162-1459
DOI：
10.2307/2281124
发表日期：
1954
页码：
467-479
关键词：
摘要：
To test whether a correlation between two variables is genuine or spurious, additional variables and equations must be introduced, and sufficient assumptions must be made to identify the parameters of this wider system. If the two original variables are causably related in the wider system, the correlation is genuine.