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A Recursive Algorithm to Restore Images Based on Robust Estimation of NSHP Autoregressive Models

Autor: Vallejos, Ronny O., Mardesic, Tomislav J.

Publikováno v: Journal of Computational and Graphical Statistics, 2004 Sep 01. 13(3), 674-682.

Externí odkaz: https://www.jstor.org/stable/1390999

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Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources

Autor: Fany Nan, Luigi Grossi

Publikováno v: Technological Forecasting and Social Change. 141:305-318

In this paper a robust approach to modeling electricity spot prices is introduced. Differently from what has been recently done in the literature on electricity price forecasting, where the attention has been mainly drawn by the prediction of spikes,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a446b327fb98f2d84330c64f4a33f9ae
https://doi.org/10.1016/j.techfore.2019.01.006

Bounded-Influence Regression Estimation for Mixture Experiments

Autor: Orkun Coşkuntuncel

Publikováno v: Mersin Üniversitesi Eğitim Fakültesi Dergisi, Vol 14, Iss 3, Pp 1020-1037 (2018)
Volume: 14, Issue: 3 1020-1037
Mersin Üniversitesi Eğitim Fakültesi Dergisi

Ordinary Least Squares (OLS) estimator is widely used technique for estimating the regression coefficient in mixture experiments. But this estimator is very sensitive to outliers and/or multicollinearity problems. The aim of this paper is to propose

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80e103650415f4f7c20b0a13f027451a
https://dergipark.org.tr/tr/pub/mersinefd/issue/41501/443584?publisher=mersin-university