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Maximum Probability/Entropy translating of contiguous categorical observations into frequencies

Author

Listed:
  • Marian Grendar Jr

    (Institute of Mathematics & Computer Science)

  • Marian Grendar

Abstract

Maximum Probability method is used to translate possibly contiguous and overlapping categorical observations into frequencies.

Suggested Citation

  • Marian Grendar Jr & Marian Grendar, 2003. "Maximum Probability/Entropy translating of contiguous categorical observations into frequencies," Econometrics 0309003, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0309003
    Note: Type of Document - Pdf; prepared on IBM PC - PC-TEX; to print on HP; pages: 3 ; figures: none. Working paper of IM&CS, BB, Sept. 2003.
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0309/0309003.pdf
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    Cited by:

    1. Marian Grendar & George Judge, 2008. "Large-Deviations Theory and Empirical Estimator Choice," Econometric Reviews, Taylor & Francis Journals, vol. 27(4-6), pages 513-525.

    More about this item

    Keywords

    contiguous categorical observations; maximum probability; maximum entropy; inverse problem;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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