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Gaussian and Non-Gaussian Linear Time Series and Random Fields
part of the Springer Series in Statistics series
- Binding:
- Paperback
- Pages:
- 247
- Published:
- September 27, 2012
- Edition:
- 12000
- Dimensions:
- 155x235x14 mm.
- Weight:
- 409 g.
Delivery:
1-2 weeks
Expected delivery: July 13, 2024
Description of Gaussian and Non-Gaussian Linear Time Series and Random Fields
The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical questions also being discussed.
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