Statistical calculations

## Classes | |

class | mio::Meteo1DInterpolator |

A class that can resample MeteoData objects. More... | |

class | mio::Meteo2DInterpolator |

A class to spatially interpolate meteo parameters. For more, see Spatial interpolations. More... | |

class | mio::ResamplingAlgorithms |

Interface class for the temporal resampling algorithms. More... | |

class | mio::InterpolationAlgorithm |

A class to perform 2D spatial interpolations. For more, see Spatial interpolations. More... | |

class | mio::PolynomialRegression |

A class to perform 1D polynomial regression. More... | |

class | mio::Fit1D |

A class to perform 1D regressions. More... | |

class | mio::FitLinClosedForm |

A class to perform multiple linear regressions relying on the closed form solution. More... | |

class | mio::FitLeastSquare |

A class to perform non-linear least square fitting. It works on a time serie and uses matrix arithmetic to perform an arbitrary fit (see http://mathworld.wolfram.com/NonlinearLeastSquaresFitting.html). More... | |

class | mio::Interpol1D |

A class to perform basic 1D statistics. Each method is static. More... | |

class | mio::Interpol2D |

A class to perform 2D spatial interpolations. Each parameter to be interpolated declares which interpolation method to use. Then the class computes the interpolation for each 2D grid point, combining the inputs provided by the available data sources. More... | |

class | mio::LibResampling2D |

Spatial resampling algorithms. More... | |

class | mio::RandomNumberGenerator |

Documentation for available statistical calculations. This is heavily used by the Available data processing elements as well as the 1D interpolations and 2D interpolations.