Timeline for Fittind data with shifted Chebyshev polynomials
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Apr 7, 2021 at 16:26 | comment | added | Michael E2 |
@Mark You can use LinearModelFit as well: ts[n_Integer, x_?NumericQ] := ChebyshevT[n, 2 x - 1]; Format[ts[n_, x_]] := Subsuperscript[HoldForm[T], n, "*"][x]; (* Format optional *) model[m_, x_] := Table[ts[n, x], {n, m}]; nlm[m_Integer?Positive, x_] := LinearModelFit[data, model[m, x], x]
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| Apr 7, 2021 at 15:16 | comment | added | Bob Hanlon |
Use "ParameterTableEntries" (see edit)
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| Apr 7, 2021 at 15:11 | history | edited | Bob Hanlon | CC BY-SA 4.0 |
Edited to show how to access "ParameterTableEntries"
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| Apr 7, 2021 at 10:35 | comment | added | Mark | Thank you! Could you tell me how can I export the parameter table please? | |
| Apr 7, 2021 at 10:09 | vote | accept | Mark | ||
| Apr 6, 2021 at 19:44 | history | answered | Bob Hanlon | CC BY-SA 4.0 |