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Metric Methods for Analyzing Partially Ranked Data

by Douglas E. Critchlow
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Current price ₹12,371.00
Original price ₹19,031.00
Original price ₹19,031.00
Original price ₹19,031.00
(-35%)
₹12,371.00
Current price ₹12,371.00

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Book cover type: Paperback
  • ISBN13: 9780387962887
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 216
  • Original Price: EUR 169.99
  • Language: English
  • Edition: 1985
  • Item Weight: 357 grams
  • BISAC Subject(s): Probability & Statistics / General and Applied

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

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