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Technometrics, 1997
Preface1Difference Equations12Lag Operators253Stationary ARMA Processes434Forecasting725Maximum Likelihood Estimation1176Spectral Analysis1527Asymptotic Distribution Theory1808Linear Regression Models2009Linear Systems of Simultaneous Equations23310Covariance-Stationary Vector Processes25711Vector Autoregressions29112Bayesian Analysis35113The Kalman ...
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Preface1Difference Equations12Lag Operators253Stationary ARMA Processes434Forecasting725Maximum Likelihood Estimation1176Spectral Analysis1527Asymptotic Distribution Theory1808Linear Regression Models2009Linear Systems of Simultaneous Equations23310Covariance-Stationary Vector Processes25711Vector Autoregressions29112Bayesian Analysis35113The Kalman ...
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2004
Time series analysis is the technique used to study observations that are measured over time. Examples include natural phenomena (temperature, humidity, wind speed) and business variables (price of commodities, stock market indices) that are measured at regular intervals (hourly, daily).
Richard M. Heiberger, Burt Holland
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Time series analysis is the technique used to study observations that are measured over time. Examples include natural phenomena (temperature, humidity, wind speed) and business variables (price of commodities, stock market indices) that are measured at regular intervals (hourly, daily).
Richard M. Heiberger, Burt Holland
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An Experimental Review on Deep Learning Architectures for Time Series Forecasting
International Journal of Neural Systems, 2021Pedro Lara-Benítez +2 more
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Advanced spectral methods for climatic time series
Reviews of Geophysics, 2002Dmitri Kondrashov, Michael Ghil
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