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BAYESIAN ESTIMATES OF PROBABILITY OF INCIDENCES AND MORTALITIES OF SELECTED SERIOUS DISEASES

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39912700" target="_blank" >RIV/00216275:25410/18:39912700 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    BAYESIAN ESTIMATES OF PROBABILITY OF INCIDENCES AND MORTALITIES OF SELECTED SERIOUS DISEASES

  • Original language description

    Oncological diseases are really serious, because they are already occurring in childhood and their number is growing rapidly. This problem is very dangerous not only for the European population, but also for the population all over the world. The Bayesian theory of credibility, in particular the binomial/beta model, can be appropriate method to determine the probability of incidences and mortalities, especially in cases of insurance companies. The main aim of this article is to evaluate these probabilities using the binomial/beta model and compare the advantages of Bayesian estimates to the maximum likelihood estimations based on trachea, bronchus and lung cancers in the Czech Republic and Ukraine. Data are obtained from the databases of WHO and OECD.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Herald of LUTE. Technical Sciences

  • ISSN

    2522-1221

  • e-ISSN

  • Volume of the periodical

    2018

  • Issue of the periodical within the volume

    54

  • Country of publishing house

    UA - UKRAINE

  • Number of pages

    7

  • Pages from-to

    59-65

  • UT code for WoS article

  • EID of the result in the Scopus database