Non-Gaussian Autoregressive-Type Time Series

Name: Non-Gaussian Autoregressive-Type Time Series
Brand: Springer Nature
SKU: 9789811681615
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Springer Nature

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9789811681615

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Product Description

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 models with non-Gaussian marginal distributions, product autoregressive models and minification models. Even though several non-Gaussian time-series models are available in the literature, most of them are focusing on the model structure and the probabilistic properties.

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