All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Bayesian Estimation of Probability of Incidences of the Most Serious Oncological Diseases in the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39912676" target="_blank" >RIV/00216275:25410/17:39912676 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bayesian Estimation of Probability of Incidences of the Most Serious Oncological Diseases in the Czech Republic

  • Original language description

    The aim of this article is to estimate the probability of incidences of the most serious two oncological diseases in the three selected five-year age groups in the Czech Republic by using Bayesian theory of credibility, specifically binomial/beta model. These diseases are occurred in early childhood. During the lifetime, these incidences grow rapidly. The next aim of this article is to determine the parameters of a priori beta distribution, specifically in the case that the priory information on estimated parameter of binomial distribuion is known. These parameters of beta distribution are determined by using basic characteristics of beta distribution. Possibilities of permanent update of estimates can be used in commercial and health insurance companies. Data on cancer incidences are obtained from database of ÚZIS.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Financial Management of Firms and Financial Institutions

  • ISBN

    978-80-248-4138-0

  • ISSN

    2336-162X

  • e-ISSN

    neuvedeno

  • Number of pages

    8

  • Pages from-to

    407-414

  • Publisher name

    Vysoká škola báňská-Technická univerzita Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Sep 6, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article