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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.

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Journal ArticleDOI

Time-series analysis of the impact of bed occupancy rates on the incidence of methicillin-resistant Staphylococcus aureus infection in overcrowded general wards.

TL;DR: The study data suggest that, in the setting of St. Luke's Hospital, simple fluctuations in the rate of bed occupancy did not have a direct impact on the incidence of MRSA infection as long as the rates were within designated levels, and episodes of significant overcrowding that triggered increases in infection incidence rates were triggered.
Journal ArticleDOI

Measurement error and person-specific reliability in multilevel autoregressive modeling.

TL;DR: A preliminary model that accounts for measurement error for constructs that are measured with a single indicator is presented, and how this model could be used to investigate the between-person reliability of the measurements, as well as the (person-specific) within-person reliabilities and any individual differences in these Reliabilities.
Proceedings ArticleDOI

SiFi: exploiting VoIP silence for WiFi energy savings insmart phones

TL;DR: This paper presents SiFi: Silence prediction based WiFi energy adaptation, which predicts the length of future silence periods and places the WiFi radio to sleep during these periods, and implements the design on an Android Smart phone and achieves 40% energy savings while maintaining high voice fidelity.
Journal ArticleDOI

Interannual variability of the atmospheric CO 2 growth rate: roles of precipitation and temperature

TL;DR: In this paper, the authors analyzed the relationship between Mauna Loa CO2 growth rate and tropical land climatic elements, and found that CO2 CGR lags precipitation by 4 months with a correlation coefficient of −0.63, leads temperature by 1 month, and correlates with soil moisture with zero lag.
DissertationDOI

Knowledge Discovery from Sequential Data

TL;DR: A new framework for analyzing sequential or temporal data such as time series is proposed, with special emphasis on the interpretability of the results, which makes it possible to deal with irregular or chaotic series.