Metric Methods for Analyzing Partially Ranked Data - Douglas E. Critchlow
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A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice, ¿. . , n-th choice. If two judges each rank the same n items, statisticians have used various metrics to measure the closeness of the two rankings, including Ken dall's tau, Spearman's rho, Spearman's footrule, Ulam's metric, Hal1l11ing distance, and Cayley distance. These metrics have been em plo ... Full description
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Description
A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice, ¿. . , n-th choice. If two judges each rank the same n items, statisticians have used various metrics to measure the closeness of the two rankings, including Ken dall's tau, Spearman's rho, Spearman's footrule, Ulam's metric, Hal1l11ing distance, and Cayley distance. These metrics have been em ployed in many contexts, in many applied statistical and scientific problems. Thi s monograph presents genera 1 methods for extendi ng these metri cs to partially ranked data. Here "partially ranked data" refers, for instance, to the situation in which there are n distinct items, but each judge specifies only his first through k-th choices, where k
More Information
| Author | Douglas E. Critchlow |
|---|---|
| Publisher | Springer US |
| Series | Lecture Notes in Statistics |
| Release year | 1986 |
| Cover type | Softcover |
| EAN | 9780387962887 |