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The Analysis of Time Series: An Introduction
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TLDR
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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Nocturnal exposure to intermittent 60 Hz magnetic fields alters human cardiac rhythm.
TL;DR: Three double-blind studies reported here are the first to examine effects of exposure on HRV, and changes seen as a function of intermittent magnetic field exposure are similar, but not identical, to those reported as predictive of cardiovascular morbidity and mortality.
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Kinetics of photoacclimation in corals
TL;DR: A model that predicts the rate of photosynthesis under fluctuating irradiances at the scale of days to weeks and the kinetics of Ik closely matches the main periodicities in daily irradiance suggests that mechanisms associated with photo-protection during increases in irradiance, and the maximisation of photosynthetic efficiency during decreases in irradiances, are equally potent.
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Possible solutions to some challenges facing fisheries scientists and managers
TL;DR: Results from research in such other disciplines as cognitive psychology can facilitate better communication about uncertainties and risks among scientists, managers, and stakeholders.
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Assessing environmental impacts: effects of spatial and temporal variability at likely impact scales
TL;DR: In this article, the authors investigated how BACI designs cope with interactions between spatial and temporal variability and whether natural variability is best treated as a random or not, in order to detect the impacts of human activities on natural ecosystems.
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Testing for Periodicity in a Time Series
TL;DR: In this paper, a one-parameter family of tests for periodicity in a time series is proposed that contains Fisher's test as a special case, and critical values are obtained by using a duality with the problem of covering a circle with random arcs.