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[Forecast intervals of population size].

J De Beer

    Maandstatistiek Van De Bevolking (Hague, Netherlands : 1982)
    |April 1, 1992
    PubMed
    Summary
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    This study presents a method for calculating a statistical confidence interval for future population sizes. It utilizes an autoregressive model to analyze population growth rate forecast errors, enhancing demographic projections.

    Area of Science:

    • Demography
    • Statistical Modeling

    Context:

    • Population forecasting is crucial for resource allocation and policy planning.
    • Accurate estimation of future population size requires robust statistical methods.

    Purpose:

    • To introduce a novel statistical method for assessing confidence intervals of future population size.
    • To apply an autoregressive model to forecast errors in population growth rates.

    Summary:

    • The method employs an autoregressive model to analyze errors in population growth rate forecasts.
    • This approach provides a statistical confidence interval for projected population sizes.

    Impact:

    • Improves the reliability of population size predictions.
    • Offers a tool for more accurate long-term demographic planning and analysis.
    Keywords:
    Demographic FactorsError SourcesEstimation TechnicsMeasurementMethodological StudiesModels, TheoreticalPopulationPopulation DynamicsPopulation ForecastPopulation GrowthPopulation ProjectionPopulation SizeResearch MethodologyWorld

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