Overdispersion at the binomial and multinomial distribution

Emese Vágó, Sándor Kemény, Zsolt Láng

Research output: Contribution to journalArticle

3 Citations (Scopus)


Overdispersion is a widely discussed phenomenon in case of binomial and Poisson distributed data. We analysed multinomial data with varying multinomial parameters as a part of attribute gauge study. In this situation overdispersion is expected to occur. However in case of nonrepeated observations it is not present. We investigated and proved the "lack" of overdispersion in case of binomial and multinomial variables if there are no repeated observations. The explanation is a "compensation effect", which only occurs in case of binomial and multinomial variables and does not occur for Poisson distributed data.

Original languageEnglish
Pages (from-to)17-20
Number of pages4
JournalPeriodica Polytechnica Chemical Engineering
Issue number1
Publication statusPublished - Jan 1 2011



  • Attribute gauge
  • Binomial
  • Clinical trial
  • Multinomial and poisson distributions
  • Overdispersion
  • Underdispersion

ASJC Scopus subject areas

  • Chemical Engineering(all)

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