Bober02
Reputation
345
Next privilege 500 Rep.
Access review queues
Badges
2 3 12
Newest
Impact
~36k people reached

• 0 posts edited
• 0 helpful flags
• 10 votes cast

# 67 Actions

 Aug28 awarded Nice Question Aug19 awarded Nice Question Aug6 awarded Famous Question Jul2 awarded Curious Jul2 awarded Famous Question Jul12 awarded Notable Question Jun14 awarded Yearling Mar11 awarded Notable Question Mar11 awarded Popular Question Dec5 awarded Popular Question Aug6 awarded Teacher Jun12 comment Calculating statistic for multiple runs absolutely true, thanks for your explanation. Jun12 comment Calculating statistic for multiple runs Thanks, really appreciate. Why is the underestimated variance better in your opinion? Jun12 accepted Calculating statistic for multiple runs Jun12 asked Calculating statistic for multiple runs Jun1 revised How to integrate out a function parameter I updated to show the problem exactly Jun1 asked How to integrate out a function parameter May30 accepted Mathematical function for weighting results May30 comment Mathematical function for weighting results Another update: if I know, taht maximum difference is D, how can I make this equal to 1, using the above function, and rescale all the other, smaller values respectively? May30 comment Mathematical function for weighting results Thank you very much Ilya. I further noticied that the basic function quite quickly reaches "high" weight values. if x and y differ by only 1, the value would still be at around 0.6. My values would most likely differ by 10-20, or even more, so I would like to be able to see big difference between 20 and 200, if that is the case. Should I simply divide the difference by 100 or other constant of mine or is there a better way to achieve what I described? thanks