A MARKOV CHAIN MODEL FOR MAGAZINE EXPOSURE

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

Klotz's (1973) Markov chain model for dependent Bernoulli trials is applied to magazine exposure distributions. Simple parameter estimates are derived and are shown to compare well with the maximum likelihood estimates. The Markov model is fitted to forty magazines from a large print media survey and compares favourably with the most popular non‐proprietary magazine model, the beta‐binomial model. In addition, the Markov model is used to simulate magazine exposure distributions.

Original languageEnglish
Pages (from-to)163-176
Number of pages14
JournalAustralian Journal of Statistics
Volume32
Issue number2
DOIs
Publication statusPublished - 1 Jan 1990
Externally publishedYes

Keywords

  • Beta‐binomial
  • magazine exposure distribution
  • Markov chain
  • modified beta‐binomial
  • simulation

Cite this