MEDIA STATISTIKA
Vol 6, No 1 (2013): Media Statistika

ESTIMASI PARAMETER MODEL MIXTURE AUTOREGRESSIVE (MAR) MENGGUNAKAN ALGORITMA EKSPEKTASI MAKSIMISASI (EM)

Asrini, Mika (Unknown)
Sulandari, Winita (Unknown)
Wiyono, Santoso Budi (Unknown)



Article Info

Publish Date
30 Jun 2013

Abstract

Mixture autoregressive (MAR) Model is a mixture of Gaussian autoregressive (AR) components. The mixture model is capable for modelling of nonlinear time series with multimodal conditional distributions. This paper discusses about the parameters estimation using EM algorithm. All possible models are then applied to national maize production data. In this case, the BIC is used for the MAR model selection. Keywords : Mixture Autoregressive, EM Algorithm, BIC, Maize Production

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