Timeline for Need of Weighted Mean Squared Error
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 29, 2021 at 1:28 | comment | added | Rob | note that the 1/N term is dividing by the weight, where there is an assumption that everything is weight 1. But if I am comparing the model to the data (X[n] - X_n)^2 ... but the observation happened 3 times... it actually adds (X[n] - X_n)^2 * w[n]. Note that even works if you have repeated measurements, like: [(2,3.5),5],[(2,3.4)] ... where f(2)=3.5 in 5 observations, and f(2)=3.4 in 4 observations. The length of time during a byte/sec rate could be the weight. When you do 1/N, that's dividing by the weight. If you track a total weight W, you can divide by that. | |
| Jan 29, 2021 at 1:26 | review | First posts | |||
| Jan 29, 2021 at 3:54 | |||||
| Jan 29, 2021 at 1:23 | history | answered | Rob | CC BY-SA 4.0 |