Titlebook: Introduction to Multiple Time Series Analysis; Helmut Lütkepohl Textbook 19911st edition Springer-Verlag Berlin Heidelberg 1991 Resampling

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書目名稱Introduction to Multiple Time Series Analysis影響因子(影響力)




書目名稱Introduction to Multiple Time Series Analysis影響因子(影響力)學科排名




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書目名稱Introduction to Multiple Time Series Analysis網(wǎng)絡(luò)公開度學科排名




書目名稱Introduction to Multiple Time Series Analysis被引頻次




書目名稱Introduction to Multiple Time Series Analysis被引頻次學科排名




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書目名稱Introduction to Multiple Time Series Analysis讀者反饋




書目名稱Introduction to Multiple Time Series Analysis讀者反饋學科排名

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Overview: 978-3-662-02691-5

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https://doi.org/10.1007/978-3-662-02691-5Resampling; Zeitreihenanalyse; average; calculus; econometrics; estimator; forecasting; model; modeling; perm

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State Space Modelssciences, and engineering. The terminology is therefore largely from these fields. The general idea behind these models is that an observed multiple time series ....., .. depends upon a possibly unobserved state .. which is driven by a stochastic process.

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Vector Autoregressive Moving Average ProcessesIn this chapter we extend our standard finite order VAR model . by allowing the error terms, here .., to be autocorrelated rather than white noise.

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Introductione series observations are available for a variable of interest and the data from the past contain information about the future development of a variable, it is plausible to use as forecast some function of the data collected in the past. For instance, in forecasting the monthly unemployment rate, fr

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