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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

Piecing together the past: statistical insights into paleoclimatic reconstructions

TL;DR: This article considers the challenge of inferring a climate process through space and time from overlapping instrumental and climate sensitive proxy time series that are assumed to be well dated – an assumption that is likely only reasonable for certain proxies over at most the last few millennia.
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Spatial and temporal analysis of mass movement using dendrochronology

TL;DR: In this article, the authors report a new automated method for studying the temporal and spatial aspects of mass movement activity, which uses filtering techniques and statistical time series analysis for tree growth and tree form analysis.
Proceedings ArticleDOI

Implications of evolution metrics on software maintenance

TL;DR: The latest results suggest some refinement of earlier conclusions but indicate that both the metrics and the conclusions derived from them must be taken into account in the planning and implementation of successful software maintenance.
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HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity

TL;DR: HerMES is a toolbox for the Matlab® environment, designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records, which includes also visualization tools and statistical methods to address the problem of multiple comparisons.
Journal ArticleDOI

Sandeel recruitment in the North Sea: demographic, climatic and trophic effects

TL;DR: A negative relationship was detected between recruitment and the winter index of the North Atlantic Oscillation, which affects sea temperatures during the egg and larval period, and the findings suggest that climate change may impact upon sandeel populations in the North Sea.