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Metric Methods for Analyzing Partially Ranked Data

287,96 
287,96 
2025-07-31 287.9600 InStock
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Knygos aprašymas

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

Informacija

Autorius: Douglas E. Critchlow
Serija: Lecture Notes in Statistics
Leidėjas: Springer US
Išleidimo metai: 1986
Knygos puslapių skaičius: 232
ISBN-10: 0387962883
ISBN-13: 9780387962887
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Probability and statistics

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