Abstract
A simple model is formulated to describe the behaviour of first-order Markov chains in which transitions from a state into itself are excluded. A method of computing maximum likelihood estimates of parameters is presented. The usefulness of the model is illustrated with an application, concerning the sequences of species of vegetation along a series of transects.-from Authors
| Original language | English |
|---|---|
| Pages (from-to) | 101-107 |
| Number of pages | 7 |
| Journal | Biometrics |
| Volume | 40 |
| Issue number | 1 |
| Publication status | Published - 1984 |
| Externally published | Yes |