Data Reduction And Error Analysis For The Physical Sciences
By Christina Kluge. 2016
2,295 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b1b825efc9f4c4a577d9bd7909e19c8758c06bb1
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Citations in the corpus
- The search for a subsurface ocean in Ganymede with Hubble Space Telescope observations of its auroral ovals (2015, methodology): “The resultant uncertainty of the width w(ix) of the oval defined in equation (B1) can be calculated by standard error propagations [e.g., Bevington and Robinson, 2003] 𝜎2w(ix) = ∑ iy 𝜎2f (ix , iy) ( 𝜕w 𝜕f (ix , iy) )2 .”
- Error Estimates of Theoretical Models: a Guide (2014, methodology): “The χ(2) function We define the χ(2) function for the parameter fit as [3, 4, 6]”
- FIT2D: a multi-purpose data reduction, analysis and visualization program (2016, background): “Arrays to store estimated variance values may be created, and error propagation performed assuming Gaussian error distributions (Bevington & Robinson, 1992).”
- Thermodynamics (2021, unknown): “In time-dependent DMRG algorithms, on the other hand, the growth in time of the entanglement entropy often severely limits the accessible simulation times.”
- SEDPHAT – a platform for global ITC analysis and global multi-method analysis of molecular interactions (2014, methodology): “The error analysis can be carried out either with a Monte-Carlo approach, or, more rigorously, with F-statistics based contours of the error surface [63,68].”
- WATCHDOG: A COMPREHENSIVE ALL-SKY DATABASE OF GALACTIC BLACK HOLE X-RAY BINARIES (2015, methodology): “From here, quiescence is defined as times in which the count rate is less then 3σ above the background rate,Rbg. Generally, if the quoted errorsσquo are correct, you would expect the quiescent data to follow a Gaussian distribution (Bevington & Robinson 2003).”
- SPITZER PHASE CURVE CONSTRAINTS FOR WASP-43b AT 3.6 AND 4.5 μm (2016, methodology): “Performing independent two-sample t-tests and computing p-values for each molecule (Bevington & Robinson 2003), we find that the day-night abundance difference is statistically significant for H2O (p∼ 0.001) but not so for CO+CO2 (p∼ 0.9).”
- GRACE-REC: a reconstruction of climate-driven water storage changes over the last century (2019, background): “In this case, obtaining an error estimate for the aggregated value is not trivial because the spatial covariance of the errors needs to be taken into account during the error propagation (Bevington and Robinson, 2003).”