Improving Tests for Superior Treatment in Contingency Tables
研究了基于有序数据比较两种治疗时，利用随机序作为自然替代，并基于Eaton结果给出完全检验类，发现许多现有检验不可接受，提出了改进方法以显著提高检验功效。
Abstract When comparing two treatments on the basis of ordinal data, a natural alternative is stochastic order, as it implies that more favorable outcomes receive greater probability. Results of Eaton can be used to provide a complete class of tests. We find that many tests in current use are not in this class and hence are inadmissible. More important, we present methods of improving such tests. Often, the increase in power is substantial although the size remains the same. Key Words: Ordered categorical dataStochastic order