Cody Mischel

PhD Candidate - UIC

An alternative to R^2 to characterize the quality of fit for linear least squares using offsets of variable orientation related to uncertainties in the data.


Unpublished


Lewis E. Wedgewood, Cody Wade Mischel
ChemRxiv, Cambridge: Cambridge Open Engage, 2023 May 25


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APA   Click to copy
Wedgewood, L. E., & Mischel, C. W. (2023, May 25). An alternative to R^2 to characterize the quality of fit for linear least squares using offsets of variable orientation related to uncertainties in the data. . ChemRxiv. https://doi.org/10.26434/chemrxiv-2023-l3sgl


Chicago/Turabian   Click to copy
Wedgewood, Lewis E., and Cody Wade Mischel. “An Alternative to R^2 to Characterize the Quality of Fit for Linear Least Squares Using Offsets of Variable Orientation Related to Uncertainties in the Data. .” ChemRxiv, May 25, 2023.


MLA   Click to copy
Wedgewood, Lewis E., and Cody Wade Mischel. An Alternative to R^2 to Characterize the Quality of Fit for Linear Least Squares Using Offsets of Variable Orientation Related to Uncertainties in the Data. . ChemRxiv, 25 May 2023, doi:10.26434/chemrxiv-2023-l3sgl.


BibTeX   Click to copy

@unpublished{lewis2023a,
  title = {An alternative to R^2 to characterize the quality of fit for linear least squares using offsets of variable orientation related to uncertainties in the data. },
  year = {2023},
  month = may,
  day = {25},
  organization = {Cambridge: Cambridge Open Engage},
  publisher = {ChemRxiv},
  doi = {10.26434/chemrxiv-2023-l3sgl},
  author = {Wedgewood, Lewis E. and Mischel, Cody Wade},
  howpublished = {This content is a preprint and has not been peer-reviewed.},
  month_numeric = {5}
}





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