# Difference between revisions of "Dictionary:ℓp fit/es"

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The parameters that produce estimations ''y''<sub>''i''</sub> to a set of data points ''y''<sub>''i''</sub> such that the differences between the data and the estimates (the errors ''e''<sub>''i''</sub>=''y''<sub>''i''</sub>–''y''<sub>''i''</sub>) minimizes | The parameters that produce estimations ''y''<sub>''i''</sub> to a set of data points ''y''<sub>''i''</sub> such that the differences between the data and the estimates (the errors ''e''<sub>''i''</sub>=''y''<sub>''i''</sub>–''y''<sub>''i''</sub>) minimizes |

## Revision as of 12:56, 9 April 2019

**Warning:** Display title "Dictionary:ℓ<sub><i>p</i></sub> fit" overrides earlier display title "Ajuste ℓp".

The parameters that produce estimations *y*_{i} to a set of data points *y*_{i} such that the differences between the data and the estimates (the errors *e*_{i}=*y*_{i}–*y*_{i}) minimizes

where *w*_{i} are weighting factors. If *p*=1, this yields the least-absolute deviation fit; for *p*=2, least-squares; for *p*=infinity, the **minimax** or **Chebychev results**.