Abstract
Trivially, extremes in two or more mutually independent processes are independent. In this chapter we shall establish the perhaps somewhat surprising fact that, asymptotically, independence of extremes holds for normal processes even when they are highly correlated. However, we shall first consider the asymptotic independence of maxima and minima in one normal process. Since minima of ξ(t) are maxima for — ξ(t), this can in fact be regarded as a special case of independence between extremes in two processes, namely between the maxima in the completely dependent processes ξ(t)and-ξ(t).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1983 Springer-Verlag New York Inc.
About this chapter
Cite this chapter
Leadbetter, M.R., Lindgren, G., Rootzén, H. (1983). Maxima and Minima and Extremal Theory for Dependent Processes. In: Extremes and Related Properties of Random Sequences and Processes. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5449-2_11
Download citation
DOI: https://doi.org/10.1007/978-1-4612-5449-2_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-5451-5
Online ISBN: 978-1-4612-5449-2
eBook Packages: Springer Book Archive