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MORTALITY RATE ESTIMATE FOR THE OLD AGE POPULATION BY BOOTSTRAP METHOD

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F14%3A39898476" target="_blank" >RIV/00216275:25410/14:39898476 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    MORTALITY RATE ESTIMATE FOR THE OLD AGE POPULATION BY BOOTSTRAP METHOD

  • Original language description

    One of the factors of the economic and financial prosperity of the country is the age structure of the population. The bases for the age population structure calculation are the statistical tables. The indicator specific mortality rate is usually calculated on the base of the known data concerning the death people and living people. The Makeham - Gompertz function is one of the commonly used modesl for the mortality modelling of the population. Parameters of this function are mostly estimated for example by the method of the partial sums. This method however fails at very high old age group mortality estimation. The big problem is lack of data at these age groups for the statistical processing by the classical methods. An alternative approach of the solution of this problem is presented in the article, namely application of the bootstrap method. Its principle is the determination of residuals, creating of their bootstrap samples and subsequently calculation of a model that is used to e

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    SGEM Conference on Political Sciences, Law, Finance, Economics and Tourism, Conference proceedings, Volume IV, "Economics and Tourism"

  • ISBN

    978-619-7105-28-5

  • ISSN

    2367-5659

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    481-486

  • Publisher name

    SGEM

  • Place of publication

    Sofia

  • Event location

    Albena

  • Event date

    Sep 2, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article