Abstract
Stochastic modeling of vector hydrologic time series exhibiting spatial as well as temporal correlations is examined with the general class of STARIMA, space-time autoregressive integrated moving-average models.
| Original language | American English |
|---|---|
| Journal | Advances in Applied Probability |
| Volume | 16 |
| DOIs | |
| State | Published - Dec 1 1984 |
Disciplines
- Computer Sciences
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