{ "item_title" : "Metric Methods for Analyzing Partially Ranked Data", "item_author" : [" Douglas E. Critchlow "], "item_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", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/38/796/288/0387962883_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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