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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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The Recent Trend and Variance Increase of the Annular Mode
TL;DR: In this paper, the authors examined whether both the trend and the increase in variance of the Northern Hemisphere winter annular mode during the past 30 years arise from atmospheric internal variability and found that the trend is well in excess of the level expected from internal variability of the atmosphere.
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Use of Poisson Regression and Time Series Analysis for Detecting Changes over Time in Rates of Child Injury following a Prevention Program
TL;DR: Analysis of changes in child injury incidence after implementation of a community-based injury prevention program in Central Harlem, New York City suggests that Poisson regression is an attractive and viable alternative to time series analysis.
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Spatiotemporal influences of ENSO on precipitation and flood pulse in the Mekong River Basin
Timo A. Räsänen,Matti Kummu +1 more
TL;DR: In this paper, the influence of El Nino-Southern Oscillation (ENSO) on recent climate variations in the Mekong River Basin in South East Asia has been examined.
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The Challenge of Predicting Demand for Emergency Department Services
TL;DR: At this facility, demand for ED services was well approximated by a Poisson regression model, and the expected arrival rate is characterized by a small number of factors and does not depend on recent numbers of arrivals.
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Environmental stability and lake zooplankton diversity - contrasting effects of chemical and thermal variability.
Jonathan B. Shurin,Monika Winder,Rita Adrian,Wendel Keller,Blake Matthews,Andrew M. Paterson,Michael J. Paterson,Bernadette Pinel-Alloul,James A. Rusak,James A. Rusak,Norman D. Yan,Norman D. Yan +11 more
TL;DR: The results suggest that temporal fluctuations in the chemical environment tend to exclude zooplankton species while temperature variability promotes greater richness, and indicate that anthropogenic increases in temporal variability of future climates may have profound effects on biodiversity.