Titlebook: Advances in Time Series Analysis and Forecasting; Selected Contributio Ignacio Rojas,Héctor Pomares,Olga Valenzuela Conference proceedings

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The Random Field Problem; Facts and Fiction,call asymptotic Beta. The new model’s innovation sequences distributions are obtained using Laplace transform approximation techniques. Finally, the case of generalized functional Beta . distribution’s use is discussed as a new parent distribution. The chapter ends with an exhaustive references list.

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Leaven

Detection of Outlier in Time Series Count Datawere originally proposed by Zeger (Biometrika 75(4):621–629, 1988) [.] and have subsequently generalized into GARMA family. The Maximum Likelihood Estimators of the parameters are discussed and the procedure of detecting an outlier is described. Finally, the proposed method is applied to a real data set.

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Terrace

Condensed Matter Applications of AdS/CFTan-Rissanen Algorithm, Whittle’s Estimation and Maximum Likelihood Estimation are used to estimate the parameters of the models. Point forecasts have been done and the performance of all the models and the estimation methods are discussed.

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prediabetes

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