I am not sure whether this is the right forum for this question but I reckon that since it gathers experts in GIS, the odds of someone having valuable insights is higher than anywhere else. So here's my problem.
I have a positioning system in which the manually measured positions of objects are (for technical reasons) a common position if these objects are within a determined area. I know, it sounds weird, but bear with me. Now, on the other hand, the system regularly triangulates each object's position and returns the calculated position (planar). Hence, over time, I have a series of predicted positions for each object.
As the TRUE position is not recorded, I cannot estimate (as far as I know) the accuracy of the system. However, I still can estimate the precision since I have a large amount of readings for each object.
My question is then: Can I ever infer accuracy from precision for a positioning system? And if so, under which conditions?
I know this is possible in other areas of science, e.g. Medical sciences. In these cases "Accuracy may be inferred once precision, linearity and specificity have been established". Specificity tells us about the degree of interference of other systems, object and so on, as linearity of a method can be explained as its capability to show “results that are directly proportional to the concentration of the analyte in the sample” (e.g. the effect of a drug is proportional to the dose given). I fail to find any positioning equivalents to this.