Talk:Regressing structure function against bin separation: Difference between revisions
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:[[User:Yuengdjern|Yuengdjern]] ([[User talk:Yuengdjern|talk]]) In the second bullet point for the centre-difference scheme, is there a typo? Should it say 'combining the data from all beams' instead of ' ....all bins'? But then this just gives a variable that matches EPSI_FINAL dimensions... | :[[User:Yuengdjern|Yuengdjern]] ([[User talk:Yuengdjern|talk]]) In the second bullet point for the centre-difference scheme, is there a typo? Should it say 'combining the data from all beams' instead of ' ....all bins'? But then this just gives a variable that matches EPSI_FINAL dimensions... | ||
:[[User:Yuengdjern|Yuengdjern]] ([[User talk:Yuengdjern|talk]] Confusing alternative regression method for bin-center differenced Dll is moved here until further notice: | |||
#* by combining the data for all of the bins, with each separation distance having a <math>D_{ll}(n, \delta)</math> value for each bin, with the regression again ultimately yielding a single <math>\varepsilon</math> value for the data segment. |
Revision as of 15:56, 30 May 2022
- Yuengdjern (talk) In the second bullet point for the centre-difference scheme, is there a typo? Should it say 'combining the data from all beams' instead of ' ....all bins'? But then this just gives a variable that matches EPSI_FINAL dimensions...
- Yuengdjern (talk Confusing alternative regression method for bin-center differenced Dll is moved here until further notice:
- by combining the data for all of the bins, with each separation distance having a [math]\displaystyle{ D_{ll}(n, \delta) }[/math] value for each bin, with the regression again ultimately yielding a single [math]\displaystyle{ \varepsilon }[/math] value for the data segment.