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Partial Independence and Finite Distributions

Author

Listed:
  • Panaretos, John

Abstract

Ιt is known that mere knowledge of the conditional distribution of two random variables is not sufficient to specify uniquely the marginal distributions. Some additional information is necessary. This is usually provided in some form of independence between functions of the two random variables involved. PANARETOS (1981) introduced a method of deriving the marginal distributions based on knowledge of the conditional distribution and an assumption of partial independence. An extension of this result is presented referring to truncated distributions. An interesting property of the hypergeometric distribution is revealed based on the unique decomposition of the binomial law

Suggested Citation

  • Panaretos, John, 1984. "Partial Independence and Finite Distributions," MPRA Paper 6247, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:6247
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    File URL: https://mpra.ub.uni-muenchen.de/6247/1/MPRA_paper_6247.pdf
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    References listed on IDEAS

    as
    1. Panaretos, John, 1982. "On a Structural Property of Finite Distributions," MPRA Paper 6242, University Library of Munich, Germany.
    2. Panaretos, John, 1981. "On the Joint Distribution of Two Discrete Random Variables," MPRA Paper 6226, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Partial Independence; Truncated Distributions; Hypergeometric Distribution; Binomial Distribution;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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