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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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Interannual fluctuations in primary production: Meteorological forcing at two subalpine lakes

TL;DR: In this article, meteorological factors are associated with most of the interannual variability in primary production at both Castle Lake, California and Lake Tahoe, California-Nevada (39”N, 12O”W).
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Temporal changes in a Chihuahuan Desert rodent community

TL;DR: Time series analysis of ten years of monthly census data used to assess the responses of both individual species and an entire community of rodents to a fluctuating desert environment suggests that several species responded similarly to long-term environmental variation.
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Time series analysis for psychological research: examining and forecasting change.

TL;DR: Different time series modeling techniques are surveyed that can address various topics of interest to psychological researchers, including describing the pattern of change in a variable, modeling seasonal effects, assessing the immediate and long-term impact of a salient event, and forecasting future values.
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Performance of pop-up satellite archival tags

TL;DR: Pop-up satellite archival tags (PSATs) are used to chronicle or 'archive' the habitat preferences, horizontal and vertical movements, fishery interaction, and post-release mortality rates of a variety of pelagic animals as discussed by the authors.
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Trends in the average temperature in Finland, 1847–2013

TL;DR: The change in the mean temperature in Finland is investigated with a dynamic linear model in order to define the sign and the magnitude of the trend in the temperature time series within the last 166 years as mentioned in this paper.