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Metric Methods for Analyzing Partially Ranked Data by Douglas E. Critchlow (Paperback, 1986)

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About this product

Product Information

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 < n. More complex types of partially ranked data are also investigated. Group theory is an important tool for extending the metrics. Full rankings are identified with elements of the permutation group, whereas partial rankings are identified with points in a coset space of the permutation group. The problem thus becomes one of ex tending metrics on the permutation group to metrics on a coset space of the permutation group. To carry out the extens ions, two novel methods -- the so-called Hausdorff and fixed vector methods -- are introduced and implemented, which exploit this group-theoretic structure. Various data-analytic applications of metrics on fully ranked data have been presented in the statistical literature.

Product Identifiers

Publisher
Springer-Verlag New York Inc.
ISBN-13
9780387962887
eBay Product ID (ePID)
103447589

Product Key Features

Author
Douglas E. Critchlow
Publication Name
Metric Methods for Analyzing Partially Ranked Data
Format
Paperback
Language
English
Subject
Mathematics
Publication Year
1986
Type
Textbook
Number of Pages
216 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Volume
34
Item Weight
730g

Additional Product Features

Title_Author
Douglas E. Critchlow
Series Title
Lecture Notes in Statistics
Country/Region of Manufacture
United States

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