{"product_id":"metric-methods-for-analyzing-partially-ranked-data-9780387962887","title":"Metric Methods for Analyzing Partially Ranked Data","description":"\u003cp\u003e • Author(s): Douglas E. Critchlow\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eA 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\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45281369227415,"sku":"9780387962887","price":12371.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780387962887.webp?v=1769299011","url":"https:\/\/atlanticbooks.com\/products\/metric-methods-for-analyzing-partially-ranked-data-9780387962887","provider":"Atlantic Books","version":"1.0","type":"link"}