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Titlebook: Computer-Aided Introduction to Econometrics; Juan Rodriguez Poo Textbook 2003 Springer-Verlag Berlin Heidelberg 2003 Computational Methods

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發(fā)表于 2025-3-25 04:50:37 | 只看該作者
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發(fā)表于 2025-3-25 14:38:16 | 只看該作者
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發(fā)表于 2025-3-25 18:26:55 | 只看該作者
Multiplicative SARIMA models,intervals are called business cycles, whereas seasonality (originally) indicates regularly recurring fluctuations within a year, that appear due to the season. Such seasonal patterns can be observed for many macroeconomic time series like gross domestic product, unemployment, industrial production or construction.
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發(fā)表于 2025-3-25 23:22:16 | 只看該作者
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發(fā)表于 2025-3-26 00:59:03 | 只看該作者
Revenue Management of the Base Fare,ects the past history of the series, that is, the observations of a time series are likely to be correlated. Since the observations are measurements of the same variable, it is usually said that . is correlated with itself, that is, it is autocorrelated.
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發(fā)表于 2025-3-26 20:13:17 | 只看該作者
Multivariate Linear Regression Model,ory variables”, and an unobservable random term called “disturbance” or “error” term. The latter includes other factors (some of them non-observable, or even unknown) associated with the endogenous variable, together with possible measurement errors.
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