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Thanks, it;s not that complicated once you get used to it. In this article I just described that I have updated my benchmarking system. Many statisticians compare different forecasts together which is like comparing apples to oranges, in my my method I compare a model to it's random self, which is self -contained and it's provably unbiased. If the model is better then it's random self then, its obviously good, hinting towards an edge, possibly a profitable forecasting model.

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