Non-Gaussian Autoregressive-Type Time Series

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This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data. This book collects and collates most of the available models in the field and provide their probabilistic and inferential properties. This book classifies the stationary time-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary...

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This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data. This book collects and collates most of the available models in the field and provide their probabilistic and inferential properties. This book classifies the stationary time-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary...

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  • Formats: pdf
  • ISBN: 9789811681622
  • Publication Date: 27 Jan 2022
  • Publisher: Springer Nature Singapore
  • Product language: English
  • Drm Setting: DRM