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Fitting
(regression) II
Estimates the parameters in a regression for fitting
to a non-linear model. Parameter selection is not yet implemented.
Go to version III... |
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| [X(nx × nvar)]T |
All the values of X in sequence
(XT):
• |
| yT |
• |
| Parameter names |
• |
| Parameters and scale factors |
Parameters and scale factors in sequence:
• |
| Selected parameters |
(selected for optimization.) NOT YET IMPLEMENTED • |
| krit |
1
2 (min. sq.)
3
4
∞ (minimax) |
Criterion (power of
|ycalc−y|). |
| tol, maxit, mon |
(tol = 0 ⇒ εmach) |
Tolerance, max. no. of iterations, monitoring. |
| Graph abscissa |
(−1, no sort; 0, by y;
j, by xj, 1 ≤ j ≤ nvar) |
Graph abscissa to sort by. |
| Graph |
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Plots the initial or final graph. • |
| Show values ? |
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Shows the graph coordinates. |
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Estimates all
the parameters in the underlying model. (The Nelder-Mead algorithm
is used to optimize fit.)
The basis data were generated from
y = p1 + p2 x1 +
p3 x2 +
p4 √(x1 x2)
with P = (2, -1.5, 4.5, 7). |
| References: |
Plate: Fitting2 |
• Herz, Richard, Math tools
(UC San Diego) — Google fitting equations to data.
• 1886-09-15: Lévy, Paul Pierre (1971-12-15) |
