[ai-geostats] How can I assign weights based on measurement errors?
- Dear all,
I have difficulties to find information's about the following problem.
I have a lot of spatially scattered measurements. These measurements
have - resulting from different measurement methods - different
measurement errors, which are known.
For example some have an total error of 5%, some of 10% and a third
group of 20%.
I want to give these values a quality-weight in the range from 0.0 to
1.0. (In this case three different weights.)
How can I do this?
Simple is a weight = 0 which is a value so bad I don't want to use it,
and a weight = 1 which could be the value for the group with the best
measurements (in this case error = 5%).
Is there a statistically firmed way to quantify the weights.
Any suggestions will be very welcome.
Is there any literature that discusses this matter?
Thanks in advance.