In various fields of application, we are confronted with lists of distinct objects in rank order because we can always rank objects according to their position on a scale. When we have variate values (interval or ratio scale), we might replace them by corresponding ranks. In the latter case, there is a loss of accuracy but a gain in generality. The ordering might be due to a measure of strength of evidence or to an assessment based on expert knowledge or a technical device.

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Statistics on Ranked Lists

  • Michael G. Schimek

摘要

In various fields of application, we are confronted with lists of distinct objects in rank order because we can always rank objects according to their position on a scale. When we have variate values (interval or ratio scale), we might replace them by corresponding ranks. In the latter case, there is a loss of accuracy but a gain in generality. The ordering might be due to a measure of strength of evidence or to an assessment based on expert knowledge or a technical device.