Non Gaussian Autoregressive Type Time Series is popular PDF and ePub book, written by N. Balakrishna in 2022-01-27, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Non Gaussian Autoregressive Type Time Series can be Read Online from any device for your convenience.
Non Gaussian Autoregressive Type Time Series Book PDF Summary
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.
Detail Book of Non Gaussian Autoregressive Type Time Series PDF
- Author : N. Balakrishna
- Release : 27 January 2022
- Publisher : Springer Nature
- ISBN : 9789811681622
- Genre : Mathematics
- Total Page : 238 pages
- Language : English
- PDF File Size : 11,9 Mb
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