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The Analysis of Time Series: An Introduction
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In this paper, simple descriptive techniques for time series estimation in the time domain forecasting stationary processes in the frequency domain spectral analysis bivariate processes linear systems state-space models and the Kalman filter non-linear models multivariate time series modelling some other topics.Abstract:
Simple descriptive techniques probability models for time series estimation in the time domain forecasting stationary processes in the frequency domain spectral analysis bivariate processes linear systems state-space models and the Kalman filter non-linear models multivariate time series modelling some other topics.read more
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Book ChapterDOI
Spectral Methods: What They Can and Cannot do for Climatic Time Series
Michael Ghil,Pascal Yiou +1 more
TL;DR: In this article, the authors describe the connections between time series analysis and nonlinear dynamics, discuss signal-to-noise enhancement, and present some of the novel methods for spectral analysis.
Journal ArticleDOI
Tune It Down to Live It Up? Rapid, Nongenomic Effects of Cortisol on the Human Brain
Florian Strelzyk,Michael Hermes,Ewald Naumann,Melly S. Oitzl,Christoph Walter,H. P. Busch,Steffen Richter,Hartmut Schächinger +7 more
TL;DR: The data demonstrate that a physiological concentration of cortisol profoundly affects the functioning and perfusion of the human brain in vivo via a rapid, nongenomic mechanism, and changes in neuronal functioning suggest that cortisol acts on the thalamic relay of background as well as on task-specific sensory information, allowing focus and facilitation of adaptation to challenges.
Journal ArticleDOI
The impact of special days in call arrivals forecasting: A neural network approach to modelling special days
TL;DR: This study evaluates the use of a variety of univariate time series forecasting methods for forecasting intraday call arrivals in the presence of outliers and argues that the relative complexity of ANNs over standard statistical models is offset by the simplicity of coding multiple and unknown effects during outlying periods.
Journal ArticleDOI
Time series analysis of data for sea surface temperature and upwelling components from the southwest coast of Portugal
Priscila Goela,Priscila Goela,Clara Cordeiro,Clara Cordeiro,Sergei Danchenko,Sergei Danchenko,John Icely,Sónia Cristina,Sónia Cristina,Alice Newton +9 more
TL;DR: In this paper, the authors compared sea surface temperature (SST) to the upwelling conditions off the southwest coast of Portugal using statistical analyses of publically available data and found that a statistically significant incremental increase in SST was more pronounced during the last decade.
Journal ArticleDOI
Regional climate signal vs. local noise: a two-dimensional viewof water isotopes in Antarctic firn at Kohnen Station, Dronning MaudLand
TL;DR: In this article, the authors studied the stable-water isotope composition of firn at Kohnen Station, Dronning Maud Land, Antarctica and derived a statistical noise model which successfully explains the trench data.