dvol.mse.est: MSE estimation for volume predictors
In pgs: Precision of Geometric Sampling

Description Usage Arguments Value See Also

Compute a MSE estimate for volume predictors in a space with arbitrary dimension. The structure of interest is an random compact set. The sampling device is a uniform random lattice of figures.

1	dvol.mse.est(fldata,mse.only=TRUE,iso=FALSE,diff2use)

`fldata`	data collected for volume prediction, object of class `FigLatData-class`.
`mse.only`	TRUE (default) if only the MSE estimate must be returned.
`iso`	FALSE (default) if the boundary is not assumed to be isotropic.
`diff2use`	a family of lattice vectors defining the data covariations to be used for the MSE estimation. A matrix with as many columns as lattice vectors. Each column contains the vector coordinates in the basis defined by the lattice generating matrix.

If mse.only is TRUE, the MSE estimate as a scalar. Otherwise a list with components:

`S.est`	estimate of the boundary surface area.
`deformation`	used when the boundary is not assumed to be isotropic. It is assumed that there exists a volume preserving linear transformation which makes the boundary isotropic. This list component contains the estimated transformation matrix.
`mse.est`	MSE estimate.