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A consistency algorithm based on information theory
Mathematical Population Studies
|February 1, 1994
Summary
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.
- 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.
Keywords:
Comparative StudiesEstimation TechnicsEvaluationMathematical ModelModels, TheoreticalPopulation ProjectionResearch MethodologyStudiesWorldMore Related Videos
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