scholarly journals Model Selection and Quality Estimation of Time Series Models for Artificial Technical Surface Generation

Technologies ◽  
2017 ◽  
Vol 6 (1) ◽  
pp. 3 ◽  
Author(s):  
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◽  
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2018 ◽  
Vol 6 (6) ◽  
pp. 1101-1108
Author(s):  
P Mariyappan ◽  
◽  
P Arumugam ◽  

2014 ◽  
Vol 43 (4) ◽  
pp. 267-277
Author(s):  
Stephane Guerrier ◽  
Roberto Molinari ◽  
Maria-Pia Victoria-Feser

A robust approach to the estimation of time series models is proposed. Taking froma new estimation method called the Generalized Method of Wavelet Moments (GMWM)which is an indirect method based on the Wavelet Variance (WV), we replace the classicalestimator of the WV with a recently proposed robust M-estimator to obtain a robustversion of the GMWM. The simulation results show that the proposed approach can beconsidered as a valid robust approach to the estimation of time series and state-spacemodels.


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