Hi all,
I am running an analysis with data which their reliability are questioned. Since this is the only available data, can we estimate the level of error of the analysis we made using this data?
For example, if we know the data has an error of 5%, what would be the level of error of the analysis we made using this data? Any hints, guidance, reference on this topic are really appreciated. Thank you.
There are five methods to go ahead with unrealistic data.
So many approaches are discussed in methametics like goal programming and Fuzzy logic approaches. Most of the cases in government concern data's are tabulated unrealistic manner which are recorded or collected for research work. That are testeted by Newton's forfard or backwards methods or and Goal programming or Fuzzy logic approaches. Lastly that provides in realistic nature.
Perhaps information is more than sufficient.
Dear Rythia,
You can consider that your data are noised, and try to denoise the data.
Working with data having their reliability questioned is like walking in dark room.
Best regards
Please read this paper.
The impact of data entry methods on data accuracy and statistical results
Article Preventing human error: The impact of data entry methods on ...
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Statistics
- Probability
- Probability Theory
- Reliability