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Logicist Statistics II: Inference

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Classic Works of the Dempster-Shafer Theory of Belief Functions

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 219))

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Abstract

A perspective on statistical inference is proposed that is broad enough to encompass modern Bayesian and traditional Fisherian thinking, and interprets frequentist theory in a way that gives appropriate weights to both science and mathematics, and to both objective and subjective elements. The aim is to inject new thinking into a field held back by a longstanding lack of consensus.

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Authors
  1. Arthur P. Dempster
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Editors and Affiliations

  1. Machine Intelligence Institute, Iona College, 715 N. Avenue, New Rochelle, NY 10801-1890, USA

    Roland R. Yager (Dr.) (Dr.)

  2. Department of Management and Information Systems, University of Akron College of Business Administration, 351 Akron, OH 4325-4801, USA

    Liping Liu

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Dempster, A.P. (2008). Logicist Statistics II: Inference. In: Yager, R.R., Liu, L. (eds) Classic Works of the Dempster-Shafer Theory of Belief Functions. Studies in Fuzziness and Soft Computing, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44792-4_30

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  • DOI: https://doi.org/10.1007/978-3-540-44792-4_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25381-5

  • Online ISBN: 978-3-540-44792-4

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