LeastSquaresGeneralisedCurveFit
[this page | pdf | back links]
Function Description
Returns an array consisting of the (interpolated) values
corresponding to 
derived by
carrying out a least squares generalised curve fit to the giving
weights 
to each
point 
. Such a
curve fit identifies the choice of 
that
minimises 
where the 
correspond
to the values (for a given of the 
basis
functions used in the generalised least squares curve fit. A traditional
regression in effect involves choosing as basis functions 
and 
.
NAVIGATION LINKS
Contents | Prev | Next
Output type / Parameter details
Output type: Double()
| Parameter Name | Variable Type | Description |
| y | Double() | Y coordinates to be fitted (size m) |
| w | Double() | Weights to apply (size m) |
| fx | Double() | Array (m x n) containing values of 'basis' functions at each point |
Links to:
-
Interactively run function
-
Interactive instructions
-
Example calculation
-
Output type / Parameter details
-
Illustrative spreadsheet
-
Other Statistical functions
-
Computation units used
Note: If you use any Nematrian web service either programmatically or interactively then you will be deemed to have agreed to the Nematrian website License Agreement