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龙虾
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https://doi.org/10.1007/978-0-387-69395-8Time series; econometrics; linear optimization; mathematical statistics; modeling; nonparametric methods;
Subjugate
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ARMA Modeling and Forecasting,Fitting an appropriate ARMA(.) model to an observed time series data set involves two interrelated problems, namely determining the order (.) (which is usually referred to as model identification) and estimating parameters in the model. Further, the postfitting diagnostic checking on the validity of the fitted model is equally important.
AFFIX
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0172-7397big data warehouses readily accessible. Although cl- sic parametric models, which postulate global structures for underlying systems, are still very useful, la978-0-387-26142-3978-0-387-69395-8Series ISSN 0172-7397 Series E-ISSN 2197-568X
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al from earlier in the book. Some of the results which we will discuss are proved in the literature in the context of Chevalley groups. Refer to the Concluding Remarks of this book for a brief introduction to these groups and some indication as to how they are related to the unitary group of a quadratic module.