Precision Profile Weighted Deming Regression for Methods Comparison
Fuente:
arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911091862274048 |
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| author | Hawkins, Douglas M Kraker, Jessica J |
| author_facet | Hawkins, Douglas M Kraker, Jessica J |
| contents | Errors in variables (Deming) regression of measurements spanning a wide range of values requires appropriate weighting to reflect nonconstant variance. Precision profile models, mathematical relationships between measurement variance and mean, are a route to these weights. The paper describes a methodology combining general precision profile models with Deming regression and described R routines for the resulting calculations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_02888 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Precision Profile Weighted Deming Regression for Methods Comparison Hawkins, Douglas M Kraker, Jessica J Computation 62 Errors in variables (Deming) regression of measurements spanning a wide range of values requires appropriate weighting to reflect nonconstant variance. Precision profile models, mathematical relationships between measurement variance and mean, are a route to these weights. The paper describes a methodology combining general precision profile models with Deming regression and described R routines for the resulting calculations. |
| title | Precision Profile Weighted Deming Regression for Methods Comparison |
| topic | Computation 62 |
| url | https://arxiv.org/abs/2508.02888 |