Introduction to Time Series and Forecasting Assuming a knowledge only of basic calculus, matrix algebra, and elementary statistics, this book places emphasis on methods and the analysis of data sets. It covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, and also has an optional chapter on spectral analysis. Full description

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Introduction to Time Series and Forecasting (Springer Texts in Statistics)

Brockwell, Peter J.; Davis, Richard A.

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