Journal Article
Spectral Analysis and Time Series
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In this article, the authors introduce the concept of Stationary Random Processes and Spectral Analysis in the Time Domain and Frequency Domain, and present an analysis of Processes with Mixed Spectra.Abstract:
Preface. Preface to Volume 2. Contents of Volume 2. List of Main Notation. Basic Concepts. Elements of Probability Theory. Stationary Random Processes. Spectral Analysis. Estimation in the Time Domain. Estimation in the Frequency Domain. Spectral Analysis in Practice. Analysis of Processes with Mixed Spectra.read more
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Rainfall-runoff relations for karstic springs. Part II: Continuous wavelet and discrete orthogonal multiresolution analyses.
TL;DR: In this article, the wavelet transform is applied to rainfall rates and runoffs measured at different sampling rates, from daily to half-hourly sampling rate, to provide a simple interpretation of the distribution of energy between the different scales.
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A new interpretation of nonlinear energy operator and its efficacy in spike detection
Sudipta Mukhopadhyay,G.C. Ray +1 more
TL;DR: A new interpretation of NEO is given and it is shown that NEO accentuates the high-frequency content, which makes it an ideal tool for spike detection.
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Constructing NARMAX models using ARMAX models
Tor Arne Johansen,Bjarne A. Foss +1 more
TL;DR: It is shown that a large class of non-linear systems can be modelled in this way, and indicated how to decompose the systems range of operation into operating regimes.
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Applying generalized linear models
TL;DR: Generalized linear models have also been used in this article to fit and compare probability distributions of different probability distributions for time series and event history data, including survival data and event histories.
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Bayesian inference in threshold models using Gibbs sampling
TL;DR: La methodologie est illustree sur un modele paternel appliquee a une dysplasie de la hanche chez le chien, and les resultats sont compares a ceux d'une etude precedente basee sur un maximum de vraisemblance approche.
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