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A consistency algorithm based on information theory.

E Van Imhoff

    Mathematical Population Studies
    |February 1, 1994
    PubMed
    Summary
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    This study introduces a geometric-mean approach for consistent multidimensional demographic projections. This method, grounded in information theory, offers a robust solution compared to existing techniques.

    Area of Science:

    • Demography
    • Mathematical Modeling
    • Information Theory

    Background:

    • Multidimensional demographic projection models often face consistency challenges.
    • Existing methods, such as the harmonic-mean solution, have limitations.

    Purpose of the Study:

    • To present a novel geometric-mean solution for the consistency problem in demographic projection models.
    • To compare the geometric-mean solution with the existing harmonic-mean approach.

    Main Methods:

    • Constrained minimization of an entropy function.
    • Application of geometric-mean principles to demographic data.

    Main Results:

    • The geometric-mean solution demonstrates significant similarities to the harmonic-mean solution.
    Keywords:
    Comparative StudiesEstimation TechnicsEvaluationMathematical ModelModels, TheoreticalPopulation ProjectionResearch MethodologyStudiesWorld

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  • A key advantage is the geometric mean's distance function, which is theoretically grounded in information theory.

    • Conclusions:

    • The geometric-mean method provides a theoretically sound and consistent approach to multidimensional demographic projections.
    • This approach offers a robust alternative with a strong foundation in information theory.