MSE approximation for d-dimensional volume predictors
Compute a MSE approximation for d-dimensional volume predictors. The structure of interest is an isotropic d-dimensional random compact set. The sampling device is a uniform random lattice of figures (point patterns, line segments...). The approximation depends only on sampling parameters and on the mean surface (to be provided) of the structure.
dvol.mse(x, S = 1, L = 3)
a lattice of figures, object of class
the mean surface. Default: 1.
an integer, the criterion for stopping summation of the
Epstein zeta function. Argument of the function
The MSE approximation as a numeric.
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