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March, 1988 Some Statistical Methods for Random Process Data from Seismology and Neurophysiology
David R. Brillinger
Ann. Statist. 16(1): 1-54 (March, 1988). DOI: 10.1214/aos/1176350689

Abstract

Examples are presented of statistical techniques for the analysis of random process data and of their uses in the substantive fields of seismology and neurophysiology. The problems addressed include frequency estimation for decaying cosinusoids, signal estimation, association measurement, causal connection assessment, estimation of speed and direction and structural modeling. The techniques employed include complex demodulation, nonlinear regression, probit analysis, deconvolution, maximum likelihood, singular value decomposition, Fourier analysis and averaging.

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David R. Brillinger. "Some Statistical Methods for Random Process Data from Seismology and Neurophysiology." Ann. Statist. 16 (1) 1 - 54, March, 1988. https://doi.org/10.1214/aos/1176350689

Information

Published: March, 1988
First available in Project Euclid: 12 April 2007

zbMATH: 0637.62089
MathSciNet: MR924855
Digital Object Identifier: 10.1214/aos/1176350689

Subjects:
Primary: 62M99
Secondary: 62P99

Rights: Copyright © 1988 Institute of Mathematical Statistics

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Vol.16 • No. 1 • March, 1988
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