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Journal Article

Spectral Analysis and Time Series

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TLDR
In this article, the authors introduce the concept of Stationary Random Processes and Spectral Analysis in the Time Domain and Frequency Domain, and present an analysis of Processes with Mixed Spectra.
Abstract
Preface. Preface to Volume 2. Contents of Volume 2. List of Main Notation. Basic Concepts. Elements of Probability Theory. Stationary Random Processes. Spectral Analysis. Estimation in the Time Domain. Estimation in the Frequency Domain. Spectral Analysis in Practice. Analysis of Processes with Mixed Spectra.

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Association of ambient air pollution with respiratory hospitalization in a government-designated "area of concern": the case of Windsor, Ontario.

TL;DR: The association between air pollution and daily respiratory hospitalization for different age and sex groups from 1995 to 2000 and associations between NO2, SO2, CO, COH, or PM10 and daily hospital admission of respiratory diseases especially among females are found.
Journal ArticleDOI

HAC Corrections for Strongly Autocorrelated Time Series

TL;DR: In this article, the authors provide a review of popular methods to clarify the reasons for the failure of heteroscedasticity and autocorrelation consistent (HAC) standard errors when conducting inference in a time series setting and derive tests that come close to maximizing a weighted average power criterion.
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Recursive estimation and forecasting of non-stationary time series

TL;DR: A unified, fully recursive approach to the modelling and forecasting of non-stationary time-series based on the well-known ‘component’ or ‘structuraL’ form, which allows for conventional or self-adaptive implementation of state-space forecasting and seasonal adjustment.
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Density dependence in fluctuating grey-sided vole populations

TL;DR: The randomization and the bootstrap methods were extended to investigate delayed density dependence by using partial correlation and partial regression, respectively and suggested that the Gompertz model is more appropriate than the Ricker model for the studied populations.
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Calibration and characterisation of imaging spectrographs

TL;DR: In this paper, the relationship between pixel position and measured wavelength has been determined using three different wavelength calibration sources and the signal-to-noise ratio (SNR) is determined per wavelength.
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