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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

Fitting Time-Series Input Processes for Simulation

TL;DR: An automated and statistically valid algorithm is presented to fit autoregressive-to-anything (ARTA) processes with marginal distributions from the Johnson translation system to stationary univariate time-series data.
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Historical trends in productivity of 120 Pacific pink, chum, and sockeye salmon stocks reconstructed by using a Kalman filter

TL;DR: In this article, the authors proposed a method to detect temporal trends in productivity of Pacific salmon (Oncorhynchus spp.) stocks in a timely and reliable manner to permit appropriate management responses.
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‘Clock’ and ‘motor’ components in absolute coordination of rhythmic movements

TL;DR: The results were discussed in terms of their implications for interpreting von Holst's notions of maintenance tendency and magnetic effect and, more generally, the neural and dynamical basis of absolute coordination.
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Recent trends and anomalies in mean seasonal and annual temperatures over Sudan.

TL;DR: In this paper, the mean temperature time-series over the period 1941-1996 for 13 stations across Sudan are examined on seasonal and annual bases to explore any possible trends in recent decades.
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Characterizing bird migration phenology using data from standardized monitoring at bird observatories

TL;DR: In this paper, the authors present an overview of problematic issues in the analysis of these data, and review approaches to and methods for characterizing bird migration phenology and its change over time.