- #1
rp8308
- 15
- 0
Hi guys,
I have run multiple simulations on networks that are all slightly perturbed from each other. They produce slightly different curve outputs onto an x-y graph which I need to now analyse (it has been about 5 years since I did statistical analysis hence why I am here). A couple of the perturbed networks have quite out lying curves (by comparing them on a graph together) but the majority are all fairly similar. I was wondering what would be the best statistical method for defining an out lying curve from the rest of the curves? Someone mentioned to me a method called gaussian process regression but I am finding it hard to understand.
Cheers
I have run multiple simulations on networks that are all slightly perturbed from each other. They produce slightly different curve outputs onto an x-y graph which I need to now analyse (it has been about 5 years since I did statistical analysis hence why I am here). A couple of the perturbed networks have quite out lying curves (by comparing them on a graph together) but the majority are all fairly similar. I was wondering what would be the best statistical method for defining an out lying curve from the rest of the curves? Someone mentioned to me a method called gaussian process regression but I am finding it hard to understand.
Cheers