It seems to me that NGR can't possibly do certain things. When the standard deviation exceeds the mean, you can't even predict the sign of your random variable.
The standard deviation exceeding the mean, if it does occur, isn't the fatal problem you think it is. NGR's data is likely to be extremely noisy, but provided that it is able to extract some generalization it should work, irrespective of the std dev. Also, there is no reason, regardless of the std dev that either the RunningAverage or the Estimator algorithms should ever produce a negative estimate (unless they are getting negative samples, which would be a bug).
Ian.
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