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.
|Number of pages||14|
|Journal||Australian Journal of Statistics|
|Publication status||Published - 1 Jan 1990|
- magazine exposure distribution
- Markov chain
- modified beta‐binomial