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非循环序列相关系数的近似分布AI 解读

The paper applies a smoothing technique to obtain an approximate sampling distribution of a noncircular serial correlation coefficient. This technique is similar to the one employed by Koopmans and Dixon for finding the circular counterpart and thus provides an immediate comparison with that of the circularly denned coefficient. In fact, it is shown that the latter is a special case of the present result which is obtained in a generalized Leipnik's form with a correction…

非循环序列相关系数的近似分布AI 解读

The paper applies a smoothing technique to obtain an approximate sampling distribution of a noncircular serial correlation coefficient. This technique is similar to the one employed by Koopmans and Dixon for finding the circular counterpart and thus provides an immediate comparison with that of the circularly denned coefficient. In fact, it is shown that the latter is a special case of the present result which is obtained in a generalized Leipnik's form with a correction…