| 書(shū)目名稱 | Non-Gaussian Autoregressive-Type Time Series |
| 編輯 | N. Balakrishna |
| 視頻video | http://file.papertrans.cn/667/666913/666913.mp4 |
| 概述 | Brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data.Discusses the probabilistic and second-order properties of all models.Reviews the models available for |
| 圖書(shū)封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | non Gaussian time series; exponential autoregressive models; laplace autoregressive models; logistic au |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-8162-2 |
| isbn_softcover | 978-981-16-8164-6 |
| isbn_ebook | 978-981-16-8162-2 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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