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In statistics, Deming regression, named after W. Edwards Deming, is an errors-in-variables model that tries to find the line of best fit for a two-dimensional data set. It differs from the simple linear regression in that it accounts for errors in observations on both the x- and the y- axis. It is a special case of total least squares, which allows for…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Deming regression | related to Application | In | 0.60 | section |
| Deming regression | related to Application | Steiner | 0.60 | section |
| Deming regression | related to Application | The | 0.60 | section |
| Deming regression | related to Application | Deming | 0.60 | section |
| Deming regression | related to Application | When | 0.60 | section |
| Deming regression | related to Orthogonal regression | For | 0.60 | section |
| Deming regression | related to Orthogonal regression | Deming | 0.60 | section |
| Deming regression | related to Orthogonal regression | In | 0.60 | section |
| Deming regression | related to Orthogonal regression | Denote | 0.60 | section |
| Deming regression | related to Orthogonal regression | Then | 0.60 | section |
| Deming regression | related to Orthogonal regression | If | 0.60 | section |
| Deming regression | related to References | Adcock | 0.60 | section |
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