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タイトル | Correlation Map, a goodness-of-fit test for one-dimensional X-ray scattering spectra. |
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ジャーナル・号・ページ | Nat Methods, Vol. 12, Issue 5, Page 419-422, Year 2015 |
掲載日 | 2015年4月6日 |
![]() | Daniel Franke / Cy M Jeffries / Dmitri I Svergun / ![]() |
PubMed 要旨 | Assessing similarity between data sets with the reduced χ(2) test requires the estimation of experimental errors, which, if incorrect, may render statistical comparisons invalid. We report a ...Assessing similarity between data sets with the reduced χ(2) test requires the estimation of experimental errors, which, if incorrect, may render statistical comparisons invalid. We report a goodness-of-fit test, Correlation Map (CorMap), for assessing differences between one-dimensional spectra independently of explicit error estimates, using only data point correlations. Using small-angle X-ray scattering data, we demonstrate that CorMap maintains the power of the reduced χ(2) test; moreover, CorMap is also applicable to other physical experiments. |
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手法 | SAS (X-ray synchrotron) |
構造データ | ![]() SASDA96: ![]() SASDAA6: ![]() SASDAB6: |
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