BibTex Citation Data :
@article{J.Gauss4783, author = {Sri Wahyuningrum and Suparti Suparti and Moch. Mukid}, title = {ANALISIS PAJAK KENDARAAN BERMOTOR MENGGUNAKAN MODEL MULTISCALE AUTOREGRESSIVE DENGAN MAXIMAL OVERLAP DISCRETE WAVELET TRANSFORM (Studi Kasus di UP3AD Kab.Temanggung)}, journal = {Jurnal Gaussian}, volume = {3}, number = {1}, year = {2014}, keywords = {Maximal Overlap Discrete Wavelet Transform (MODWT); Time Series; Multiscale Autoregressive (MAR)}, abstract = { Time series analysis is applied in many fields, one of them is in the economic field. In this paper will consider analysis of the time series on data income taxes motor vehicles UP3AD Kab.Temanggung using Maximal Overlap Wavelet Transform Discrete (MODWT). Data time series decomposed using wavelet transform, namely MODWT with filter Haar and D4. From this transformation wavelet coefficients and scales coefficients are used for the modeling of time series. Modeling is done using the Multiscale Autoregressive (MAR) forecasting to get period ahead. Results of analysis showed that the model MAR with filter D4 is better than on the model MAR with filter Haar. }, issn = {2339-2541}, pages = {131--140} doi = {10.14710/j.gauss.3.1.131 - 140}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/4783} }
Refworks Citation Data :
Time series analysis is applied in many fields, one of them is in the economic field. In this paper will consider analysis of the time series on data income taxes motor vehicles UP3AD Kab.Temanggung using Maximal Overlap Wavelet Transform Discrete (MODWT). Data time series decomposed using wavelet transform, namely MODWT with filter Haar and D4. From this transformation wavelet coefficients and scales coefficients are used for the modeling of time series. Modeling is done using the Multiscale Autoregressive (MAR) forecasting to get period ahead. Results of analysis showed that the model MAR with filter D4 is better than on the model MAR with filter Haar.
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