Metric Methods Analyzing Partially (10 results)

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  • Language: English

    Published by Springer, 1986

    0387962883 / 9780387962887

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

  • Language: English

    Published by Springer, 1986

    0387962883 / 9780387962887

    • Softcover

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  • Language: English

    Published by Springer, 1986

    0387962883 / 9780387962887

    • Softcover

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  • Language: English

    Published by Springer, Springer, 1986

    0387962883 / 9780387962887

    • Softcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

  • Language: English

    Published by Springer, 1986

    0387962883 / 9780387962887

    • Softcover

    Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    Condition: New. pp. 232.

  • Language: English

    Published by Springer New York, Springer US Jan 1986, 1986

    0387962883 / 9780387962887

    • Softcover
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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 232 pp. Englisch.…

  • Language: English

    Published by Springer, Springer Jan 1986, 1986

    0387962883 / 9780387962887

    • Softcover
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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 kSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.…

  • Language: English

    Published by Springer-Verlag New York Inc., 1986

    0387962883 / 9780387962887

    • Softcover
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    Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE

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    Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Language: English

    Published by Springer, 1986

    0387962883 / 9780387962887

    • Softcover
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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    Condition: New. Print on Demand pp. 232 8 Illus.

  • Language: English

    Published by Springer, 1986

    0387962883 / 9780387962887

    • Softcover
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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. 232.