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偏秩相关的置信区间AI 解读

A partial rank correlation coefficient T(n) XY|Z , based on comparing pairs for which the values of the conditioning variable follow each other in a numerical ordering, is studied. Simulation results show that it is possible to obtain reasonably good confidence intervals by estimating σ 2/(1 − τ 2 XY|Z ). The advantage of using the coefficient T(n) XY|Z is that it is always clear what this coefficient measures, in contrast to, for example, Pearson's, Spearman's, or Kendall's…

偏秩相关系数的置信区间AI 解读

A partial rank correlation coefficient T(n) XY|Z , based on comparing pairs for which the values of the conditioning variable follow each other in a numerical ordering, is studied. Simulation results show that it is possible to obtain reasonably good confidence intervals by estimating σ 2/(1 − τ 2 XY|Z ). The advantage of using the coefficient T(n) XY|Z is that it is always clear what this coefficient measures, in contrast to, for example, Pearson's, Spearman's, or Kendall's…