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    Sanford Bates Correspondence from Nathaniel L. Goldstein

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    A letter addressed to Sanford Bates from Nathaniel L. Goldstein concerning opinions of the Appellate Division of the Third Department

    Milton L. Goldstein Collection Finding Aid

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    Finding aid for a collection. Collection description: Correspondence, holiday cards, memorabilia, a newsletter, newspaper clippings, and a photograph. Milton L. Goldstein graduated from Vanderbilt University in 1937.http://www.library.vanderbilt.edu/speccol/goldsteinml.shtm

    Sanford Bates Correspondence from Nathaniel L. Goldstein Letter

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    A letter addressed to Sanford Bates from Nathaniel L. Goldstein concerning opinions of the Appellate Division of the Third Department

    Julie Andrews with Louis L. Goldstein, University of Maryland, June 6, 1970

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    Julie Andrews with Maryland State Comptroller Louis L. Goldstein. Andrews received an honorary degree from the University of Maryland, College Park, Maryland, June 6, 1970

    A permutation test for matching and its asymptotic distribution

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    We consider a permutation method for testing whether observations given in their natural pairing exhibit an unusual level of similarity in situations where any two observations may be similar at some unknown baseline level. Under a null hypotheses where there is no distinguished pairing of the observations, a normal approximation with explicit bounds and rates is presented for determining approximate critical test levels

    Review of: Legalization and World Politics (Judith L. Goldstein et al. eds.)

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    Review of the book: Legalization and World Politics (Judith L. Goldstein et al., eds., MIT Press 2001). Preface, Bibliographic References. ISBN 0-262-57151-X [319 pp. $24.95. Paper, 5 Cambridge Center, Cambridge, MA 02142- 1493]

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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