Abstract
While our primary concern in this volume is with stationary processes, the results and methods may be used to apply simply to some important nonstationary cases. In particular, this is so for nonstationary normal sequences having a wide variety of possible mean and correlation structures, which is the situation considered first in this chapter.
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© 1983 Springer-Verlag New York Inc.
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Leadbetter, M.R., Lindgren, G., Rootzén, H. (1983). Nonstationary, and Strongly Dependent Normal Sequences. 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_6
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DOI: https://doi.org/10.1007/978-1-4612-5449-2_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-5451-5
Online ISBN: 978-1-4612-5449-2
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