Lastly, we focused on distinguishing the consistency of ranking and trend by the ordinal results in the pool data of models.
最后,利用两个模型评价的序数结果在面板数据多维信息空间中进行层级性和趋势性上的一致性判研。
参考来源 - 基于会计信息和市场信息的信用风险模型一致性研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Buffer pool data physical reads (defined in units of tablespace page size).
缓冲池数据物理读数(以表空间页宽为单位定义)。
Buffer pool data writes is much greater than Asynchronous pool data page writes.
缓冲池数据写远远大于异步池数据页写。
Buffer pool data writes is approximately equal to Asynchronous pool data page writes.
缓冲池数据写约等于异步池数据页写。
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