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Gaussian and Non-Gaussian Linear Time Series and Random Fields Book

Gaussian and Non-Gaussian Linear Time Series and Random Fields
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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. The book contrasts Gaussian models with noncausal or noninvertible (nonminimum phase) non-G, Gaussian and Non-Gaussian Linear Time Series and Random Fields
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  • Gaussian and Non-Gaussian Linear Time Series and Random Fields
  • Written by author Murray Rosenblatt
  • Published by Springer-Verlag New York, LLC, 12/31/2012
  • The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical questions also being discussed. The book contrasts Gaussian models with noncausal or noninvertible (nonminimum phase) non-G
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Authors

Reversibility and Identifiability.- Minimum Phase Estimation.- Homogeneous Gaussian Random Fields.- Cumulants, Mixing and Estimation for Gaussian Fields.- Prediction for Minimum and Nonminimum Phase Models.- The Fluctuation of the quasi-Gaussian Likelihood.- Random Fields.- Estimation for Possibly Nonminimum Phase Schemes.


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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. The book contrasts Gaussian models with noncausal or noninvertible (nonminimum phase) non-G, Gaussian and Non-Gaussian Linear Time Series and Random Fields

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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. The book contrasts Gaussian models with noncausal or noninvertible (nonminimum phase) non-G, Gaussian and Non-Gaussian Linear Time Series and Random Fields

Gaussian and Non-Gaussian Linear Time Series and Random Fields

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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. The book contrasts Gaussian models with noncausal or noninvertible (nonminimum phase) non-G, Gaussian and Non-Gaussian Linear Time Series and Random Fields

Gaussian and Non-Gaussian Linear Time Series and Random Fields

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