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RMSE Reduction for GMM Estimators of Linear Time Series Models [PDF]
, 2000 In this paper we analyze GMM estimators for time series models as advocated by Hayashi and Sims, and Hansen and Singleton. It is well known that these estimators achieve efficiency bounds if the number of lagged observations in the instrument set goes to infinity. A new version of the GMM estimator based on kernel weighted moment conditions is proposed.
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MAE and RMSE Analysis of K-means Predictive Algorithm for Photovoltaic Generation
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022Paula Zenni Lodetti +4 more
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Friction estimation – optimization of sensor configuration with respect to RMSE and costs
2014The accuracy of friction estimation depends on the sensors used. Furthermore, the costs of sensors have to be considered during system design.
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Early Cervical Cancer Diagnostics Detection Based on RMSE and Extreme Learning Machine
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Mathematical Modelling of RMSE Approach on Agricultural Financial Data Sets
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Improving wave model validation based on RMSE
2013MENTASCHI, LORENZO +3 more
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2025 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)
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Sompong Aree, Siraphop Tooprakai
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