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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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Medium-range multimodel ensemble combination and calibration
TL;DR: In this paper, a global 15-day multimodel ensemble was developed, which combines ensembles from the European Centre for Medium-Range Weather Forecasts (ECMWF), Met Office and National Centers for Environmental Prediction (NCEP) and is calibrated to give further improvements.
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Detection of imperfect population synchrony in an uncertain world
TL;DR: In this paper, the authors propose a method of phase analysis for studying the spatio-temporal fluctuations of animal populations, and use this method for helping identify remarkable synchronized population fluctuations that may sometimes be found over very large spatial domains.
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Time Series Analysis Model for Rainfall Data in Jordan: Case Study for Using Time Series Analysis
TL;DR: In this article, the authors used Box-Jenkins methodology to build ARIMA model for monthly rainfall data taken for Amman airport station for the period from 1922-1999 with a total of 936 readings.
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A Bayesian Lifetime Model for the “Hot 100” Billboard Songs
Eric T. Bradlow,Peter S. Fader +1 more
TL;DR: This work focuses on a popular, but fairly typical ranked list (the Billboard “Hot 100” songs) to explain and model the simultaneous movement of multiple items (songs) up and down the chart over time, and posit a model for the time series of charts based on a latent lifetime (worth) process.
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Brown locust outbreaks and climate variability in southern Africa
TL;DR: The results of a study into the dynamics and potential predictability of locust populations in southern Africa are presented in this paper, where the number of districts reporting locust control measures was used as a proxy for swarming brown locust population.