Abstract
Let \(k\in \mathbb {N}\), \(T\subseteq \mathbb {R}\). A function
or, equivalently, a set of indexed elements of \(\mathbb {R}^{k}\),
is called an observed time series. We also write
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cantelli, F. P. (1933). Sulla determinazione empirica delle leggi di probabilità . Giornale dell’Istituto Italiano degli Attuari, 4, 421–424.
Glivenko, V. (1933). Sulla determinazione empirica delle leggi di probabilità . Giorn. Ist. Ital. Attuari, 4, 92–99.
van der Vaart, A. W. (1998). Asymptotic statistics. Cambridge: Cambridge University Press.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Beran, J. (2017). Introduction. In: Mathematical Foundations of Time Series Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-74380-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-74380-6_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74378-3
Online ISBN: 978-3-319-74380-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)