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Detecting Change Points in Polynomial Regression Models with an Application to Cable Data Sets 被引量:2

Detecting Change Points in Polynomial Regression Models with an Application to Cable Data Sets
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摘要 In this paper, the Schwarz Information Criterion (SIC) is used to detect the change points in polynomial regression models. Switching quadratic regression models with same amount of model deviation and switching polynomial regression models with different amount of model deviation for different segments of regression are considered. The number of separate regimes and their corresponding regression orders are assume to be known. The method is then applied to cable data sets and the change points are successfully detected.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2004年第4期541-546,共6页 应用数学学报(英文版)
关键词 Information criterion change points polynomial regression models Information criterion change points polynomial regression models
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参考文献10

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