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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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Time-Series Modeling and Prediction of Global Monthly Absolute Temperature for Environmental Decision Making
TL;DR: In this article, a generalized, structural, time series modeling framework was developed to analyze the monthly records of absolute surface temperature, one of the most important environmental parameters, using a deterministicstochastic combined (DSC) approach.
Proceedings ArticleDOI
Vanguard: A New Detection Scheme for a Class of TCP-targeted Denial-of-Service Attacks
TL;DR: A new detection system called Vanguard is proposed to identify a wide range of the aforementioned low-rate, DoS attacks, including the traditional flooding-based attacks as a special case and can also detect attacks with randomized attack periods.
Journal ArticleDOI
Terrestrial vegetation dynamics and global climate controls
TL;DR: In this article, monthly data from the moderate resolution imaging spectroradiometer (MODIS) and its predecessor satellite sensors was used to reconstruct vegetation dynamics in response to climate patterns over the period 1983-2005.
Journal ArticleDOI
Weather, day length and physical activity in older adults: Cross-sectional results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Norfolk Cohort.
TL;DR: Day length and weather conditions appear to be an important factor related to active ageing and potential interventions should focus on developing potential interventions to reduce their impact on physical activity behaviours in older adults.
Proceedings Article
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care
TL;DR: In this article, the Factorial Switching Kalman Filter (FKSF) was used to identify artifactual and physiological patterns in clinical time series data of infants receiving intensive care.