Non-Gaussian Autoregressive-Type Time Series /

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 int...

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Bibliographic Details

Main Author:	Balakrishna, N. (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Time-series analysis. Statistics . Time Series Analysis. Bayesian Inference. Statistics. Electronic books.
Online Access:	Connect to the full text of this electronic book