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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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Recent trends in groundwater levels in a highly seasonal hydrological system: the Ganges-Brahmaputra-Meghna Delta

TL;DR: In this paper, a nonparametric seasonal-trend decomposition procedure (STL) was used to resolve trend and seasonal components in weekly groundwater levels in the Ganges-Brahmaputra-Meghna (GBM) Delta.
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Study Designs for Dependent Happenings

TL;DR: This paper develops the conceptual framework for four types of study designs that differentiate and account for direct and indirect effects of intervention programs in dependent happenings.
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Host immunity and synchronized epidemics of syphilis across the United States

TL;DR: It is shown that repeated epidemics of primary and secondary syphilis infection in the United States over the past 50 yr represent a rare example of unforced, endogenous oscillations in disease incidence, with an 8–11-yr period that is predicted by the natural dynamics ofSyphilis infection, to which there is partially protective immunity.
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Use of Antibiotics during Pregnancy Increases the Risk of Asthma in Early Childhood

TL;DR: Increased risk of asthma associated with maternal antibiotic use is found in a clinical study of a birth cohort with increasedrisk of asthma and replicated this finding in an unselected national birth cohort, and in a subgroup using antibiotics for nonrespiratory infections.
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Dissection of amoeboid movement into two mechanically distinct modes.

TL;DR: It is shown that Dictyostelium cells moving in a physiological milieu continuously produce `blebs' at their leading edges, and that focal blebbing contributes greatly to their locomotion, and concludes that amoeboid motility comprises two mechanically different processes characterized by the production of two distinct cell-surface protrusions, blebs and filopodia-lamellipodia.