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Can I read Autoregressive Type Time Series Springer 2022 on EtoBox?

Autoregressive Type Time Series Springer 2022 by N Balakrishna Non Gaussian is a nonfiction available to read on EtoBox.

What is Autoregressive Type Time Series Springer 2022 about?

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.

Who reads Autoregressive Type Time Series Springer 2022?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
N Balakrishna Non Gaussian
Publisher
Springer Singapore : Imprint: Springer
Published
2022
Language
EN
ISBN
9789811681639
Category
nonfiction
Subjects
Mathematics, Stem

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