Non-Gaussian Autoregressive-Type Time Series

N. Balakrishna ()
Additional contact information
N. Balakrishna: Cochin University of Science and Technology, Department of Statistics

in Springer Books from Springer

Date: 2021
ISBN: 978-981-16-8162-2
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 Basics of Time Series

N. Balakrishna

Ch Chapter 2 Statistical Inference for Stationary Linear Time Series

N. Balakrishna

Ch Chapter 3 AR Models with Stationary Non-Gaussian Positive Marginals

N. Balakrishna

Ch Chapter 4 AR Models with Stationary Non-Gaussian Real-Valued Marginals

N. Balakrishna

Ch Chapter 5 Some Non-linear AR-type Models for Non-Gaussian Time Series

N. Balakrishna

Ch Chapter 6 Linear Time Series Models with Non-Gaussian Innovations

N. Balakrishna

Ch Chapter 7 Autoregressive-Type Time Series of Counts

N. Balakrishna

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-981-16-8162-2

Ordering information: This item can be ordered from
http://www.springer.com/9789811681622

DOI: 10.1007/978-981-16-8162-2

Access Statistics for this book

More books in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().