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Diagnostics for Time Series Analysis
Journal of Time Series Analysis, 1999Test statistics are proposed to determine the goodness of fit of a time series model. The test statistics are based on a sequence of random variables that are independent and standard normal if the model is correct. The paper shows how to compute this sequence of random variables efficiently using a combination of Markov chain Monte Carlo and ...
Gerlach, Richard +2 more
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Interactive analysis of time series
Proceedings of seventh international conference on APL - APL '75, 1975A great deal of data in business, economics, engineering and the natural sciences occur in the form of time series where observations are dependent and where the nature of this dependence is of interest in itself. The technics used in the analysis of such series of dependent observations is called time series analysis.The purpose is to build stochastic
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Some remarks on the analysis of time-series
Biometrika, 1967Techniques involving the direct study of the spectrum when analyzing time-series are reviewed, and comments made on such topics as estimating the spectral density function, testing for mixed spectra, eliminating a trend, cross-spectral analysis, and non-normality.
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OUTLIER DIAGNOSTICS IN TIME SERIES ANALYSIS
Journal of Time Series Analysis, 1990Abstract.Cook's likelihood displacement is a convenient measure of the impact of a model perturbation on parameter estimates. A commonly used model perturbation in regression is the deletion of acase, or equation. A natural model perturbation in the time series context is the deletion of anobservation, or a group of observations.
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A Review on Outlier/Anomaly Detection in Time Series Data
ACM Computing Surveys, 2022Usue Mori Carrascal +2 more
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An Experimental Review on Deep Learning Architectures for Time Series Forecasting
International Journal of Neural Systems, 2021Manuel Carranza-García +2 more
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