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>&#x2013;''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>&#x2013;''y''<sub>''i''</sub>) minimizes  

Revision as of 12:56, 9 April 2019

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Warning: Display title "Dictionary:&#x2113;<sub><i>p</i></sub> fit" overrides earlier display title "Ajuste ℓp".


The parameters that produce estimations yi to a set of data points yi such that the differences between the data and the estimates (the errors ei=yiyi) minimizes

where wi 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.