3 ms·
I'm an undergraduate engineer who has taken stats and I've never even heard of MAD before. I've thought about it [mean(abs(x)) ] but I've always assumed it woul
by Nimitz14 10y ago
I'm an undergraduate engineer who has taken stats and I've never even heard of MAD before. I've thought about it [mean(abs(x)) ] but I've always assumed it would behave similarly . Which also seems to be case (apparently MAD is better though I don't really see why, as I understood it his argument is practically the same as when arguing about using median vs mean), which is why I'm not really understanding what the problem is. It's just a rescaling, as long as one sticks with one measurement type what's the problem?
- xapata 10y agoMinimizing root-mean-squared error fits to the average (over-emphasizing the outliers). Minimizing mean-absolute-error fits to the median.
- deleted 10y ago[deleted]