Abstract
In this chapter, we will present some examples on how SSMMATLAB can easily handle some of the more popular univariate and multivariate time series models. In this way, the user can quickly familiarize himself/herself with this software tool.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gómez, V. (2016). Multivariate time series models with linear state space structure. New York: Springer.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Gómez, V. (2019). Quick Introduction to SSMMATLAB. In: Linear Time Series with MATLAB and OCTAVE. Statistics and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-20790-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-20790-8_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20789-2
Online ISBN: 978-3-030-20790-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)