doe_fit_model – FSTATS

public function doe_fit_model(nway, x, y, map, alpha) result(rst)

Uses

- ieee_arithmetic
- blas

Fits a Taylor series model to the provided data.

$Y = \beta_{0} + \sum_{i=1}^{n} \beta_{i} X_{i} + \sum_{i=1}^{n} \sum_{j=1 \\ i \neq j}^{n} \beta_{ij} X_{i} X_{j} + \sum_{i=1}^{n} \sum_{j=1}^{n} \sum_{k=1 \\ i \neq j \neq k}^{n} \beta_{ijk} X_{i} X_{j} X_{k} + ...$

Arguments

Type	Intent	Optional	Attributes		Name
integer(kind=int32),	intent(in)			::	nway	The number of interaction levels.
real(kind=real64),	intent(in),		dimension(:,:)	::	x	The M-by-N matrix containing the M values of each of the N factors used to produce the results.
real(kind=real64),	intent(in),		dimension(:)	::	y	An M-element array containing the results from the M experiments.
logical,	intent(in),	optional,	target, dimension(:)	::	map	An optional array of the same size as beta that can be used to eliminate a parameter from the model (false), or keep a parameter in the model (true). If not supplied, all parameters will be assumed to be part of the model as if the array were filled with all true values.
real(kind=real64),	intent(in),	optional		::	alpha	The significance level at which to evaluate the confidence intervals. The default value is 0.05 such that a 95% confidence interval is calculated.

Return Value type(doe_model)

The resulting model.

doe_fit_model Function

Contents

public function doe_fit_model(nway, x, y, map, alpha) result(rst)

Uses

Arguments

Return Value type(doe_model)