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Herbert H Stenson

Biographic Data

ID1661550
NAMEHerbert H Stenson
GIVEN NAMESHerbert H
FAMILY NAMEStenson
SIGNATURESTENSON H H
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS4
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1969
LATEST PUBLICATION YEAR1969
H-INDEX1
  • Goodness of fit for random rankings in Kruskal's nonmetric scaling procedure

    Herbert H Stenson, Ronald L Knoll•ARTICLE•Psychological Bulletin•1969•Cited by: 4

    in order to establish null hypotheses for the goodness-of-fit measure. Various numbers of hypothetical stimuli were analyzed using the Euclidean distance metric in various dimensionalities, and the effects of tied ranks were studied. Kruskal (1964a, 1964b) presented a method of multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. His method is an elaboration and refinement of the analysis of proximities proposed by Sh…

  • Goodness of fit for random rankings in Kruskal's nonmetric scaling procedure

    Herbert H Stenson, Ronald L Knoll•ARTICLE•Psychological Bulletin•1969•Cited by: 4

    in order to establish null hypotheses for the goodness-of-fit measure. Various numbers of hypothetical stimuli were analyzed using the Euclidean distance metric in various dimensionalities, and the effects of tied ranks were studied. Kruskal (1964a, 1964b) presented a method of multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. His method is an elaboration and refinement of the analysis of proximities proposed by Sh…

  • Goodness of fit for random rankings in Kruskal's nonmetric scaling procedure

    Herbert H Stenson, Ronald L Knoll•ARTICLE•Psychological Bulletin•1969•Cited by: 4

    in order to establish null hypotheses for the goodness-of-fit measure. Various numbers of hypothetical stimuli were analyzed using the Euclidean distance metric in various dimensionalities, and the effects of tied ranks were studied. Kruskal (1964a, 1964b) presented a method of multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. His method is an elaboration and refinement of the analysis of proximities proposed by Sh…

Advanced Statistical Methods and Models (1 work) · Combinatorics (1 work) · Econometrics (1 work) · Goodness of fit (1 work) · Kruskal's algorithm (1 work) · Mathematics (1 work) · Multi-Criteria Decision Making (1 work) · Multidimensional scaling (1 work) · Psychology (1 work) · Scaling (1 work)

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