# MSE approximation for d-dimensional volume predictors

### Description

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.

### Usage

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

### Arguments

`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 |

### Value

The MSE approximation as a numeric.

### See Also

`area.mse`

, `vol.mse`

.

### Examples

1 2 3 4 5 |