A Markov chain model for magazine exposure. (English) Zbl 0731.62136
Summary: J. Klotz’s Markov chain model [Ann. of Statist. 1, 373-379 (1973; Zbl 0256.62029)] 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.
MSC:
| 62M05 | Markov processes: estimation; hidden Markov models |
| 62P99 | Applications of statistics |
| 60J20 | Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) |
