Description Usage Arguments Value See Also Examples

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.

1 | ```
dvol.mse(x, S = 1, L = 3)
``` |

`x` |
a lattice of figures, object of class |

`S` |
the mean surface. Default: 1. |

`L` |
an integer, the criterion for stopping summation of the
Epstein zeta function. Argument of the function |

The MSE approximation as a numeric.

1 2 3 4 5 |

pgs documentation built on May 29, 2017, 5:30 p.m.

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