Metric Methods for Analyzing Partially Ranked Data (Lecture Notes in Statistics, 34)

Metric Methods for Analyzing Partially Ranked Data (Lecture Notes in Statistics, 34)

Douglas E. Critchlow

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Metric Methods for Analyzing Partially Ranked Data (Lectu...
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    Metric Methods for Analyzing Partially Ranked Data (Lecture Notes in Statistics, 34)

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    Book Details

    Author
    Douglas E. Critchlow
    Publisher
    Springer
    Format
    Paperback
    Language
    English
    Category
    Probability & Statistics
    Condition
    New
    ISBN-13
    9780387962887
    ISBN-10
    0387962883

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    Product description

    ISBN: 0387962883

    Author: Critchlow, Douglas E.

    Condition: New

    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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    Metric Methods for Analyzing Partially Ranked Data (Lecture Notes in Statistics, 34)

    $196.09 USD
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