Robust regression on noisy data for fusion scaling laws.
نویسنده
چکیده
We introduce the method of geodesic least squares (GLS) regression for estimating fusion scaling laws. Based on straightforward principles, the method is easily implemented, yet it clearly outperforms established regression techniques, particularly in cases of significant uncertainty on both the response and predictor variables. We apply GLS for estimating the scaling of the L-H power threshold, resulting in estimates for ITER that are somewhat higher than predicted earlier.
منابع مشابه
Robust scaling in fusion science: Case study for the L-H power threshold
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ورودعنوان ژورنال:
- The Review of scientific instruments
دوره 85 11 شماره
صفحات -
تاریخ انتشار 2014