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https://doi.org/10.1007/978-3-663-13010-9 size in modeling. Based on mathematical statistics in theory, a regression prediction model establishes the functional relationship between dependent and independent variables by exploring the statistical laws between them, which requires a large sample size (at least 30 sets of data).
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,Wege finanzieller Unterstützung des Kindes,h is called “prediction trap”. The crux of “prediction trap” is not whether the model itself has a good performance, but whether the system is affected by external shocking disturbances so that the modeling data cannot reflecting the future changes of the system accurately.
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,Standardbausteine für RAM-Schaltwerke,of decision-making and also one of the most important components of management science. Common prediction methods include: Regression analysis, Grey prediction models, ARIMA, Markov, Neural Network, Support Vector Machine (SVM), etc.
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Die Zusammenführung der Definitionenitenization equation of the model is used for the derivation and solution of its time response function. Therefore, the whitenization univariate grey prediction model has both the charateristics of difference and differential.
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