| Metric Methods for Analyzing Partially Ranked Data 1985 Edition Contributor(s): Critchlow, Douglas E. (Author) |
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ISBN: 0387962883 ISBN-13: 9780387962887 Publisher: Springer OUR PRICE: $189.99 Product Type: Paperback Published: January 1986 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Mathematics | Applied |
| Dewey: 519.5 |
| LCCN: 85025044 |
| Series: Historical Development of Quantum Theory |
| Physical Information: 0.49" H x 6.14" W x 9.21" (0.73 lbs) 216 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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 |