在海洋调查研究中,许多海洋中常见的随机变量都具有不同程度的序列相关和交叉相关,它们所提供的信息不可能和独立样本情形一样多。序列相关性越大,有效样本容量则越小;同样,交叉相关性越大有效站数则越少。因此,为了确保估计和推断的精确 In oceanographic research, many of the common random variables in the oceans have varying degrees of sequence-related and cross-correlation, and the information they provide can not be as much as the independent sample. The larger the sequence correlation, the smaller the effective sample size; similarly, the larger the cross-correlation is, the fewer the number of effective stations is. Therefore, in order to ensure the accuracy of estimation and inference