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Related Concept Videos

Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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Actuarial Approach

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...

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The Validation of Brass's Model Life Table System.

N H Carrier, G Thuan-Jig

    Population Studies
    |November 11, 2011
    PubMed
    Summary
    This summary is machine-generated.

    This study assesses the fit of two-parameter Brass model life tables to English life tables. A new, simple method is presented for approximating solutions to intractable equations, improving life table analysis.

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    Area of Science:

    • Demography
    • Actuarial Science
    • Statistical Modeling

    Background:

    • Life tables are crucial for understanding mortality patterns.
    • The two-parameter Brass model is a tool for life table construction.
    • Assessing model fit to empirical data is essential for reliable demographic analysis.

    Purpose of the Study:

    • To evaluate the closeness-of-fit of the two-parameter Brass model to English life tables.
    • To explore various life table functions and criteria for assessing the best fit.
    • To develop a practical method for solving the complex equations involved in Brass model fitting.

    Main Methods:

    • Comparison of Brass model life tables with empirical English life tables.
    • Application of diverse life table functions and best-fit criteria.
    • Development and testing of a simplified approximation method for intractable fitting equations.

    Main Results:

    • The direct solution of Brass model fitting equations was found to be intractable.
    • A straightforward approximation method was successfully developed and applied.
    • The study provides detailed computer output for typical cases examined.

    Conclusions:

    • The two-parameter Brass model can be fitted to English life tables with acceptable accuracy using the proposed approximation method.
    • The developed method offers a practical solution for researchers facing computational challenges in Brass model fitting.
    • This research contributes to more accurate demographic projections and actuarial calculations.