md selects bandwidth for kernel density estimator with minimum distance method. Minimum distance method directly selects optimal kernel density estimator in countably infinite kernel density estimators and indirectly selects optimal bandwidth. md selects optimal bandwidth in countably finite kernel density estimators.

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`data` |
data sample |

`hnumber` |
the number of bandwidth which md can select. 60 is enough. Of course, you can take it more. |

`ds` |
rate of data split. Minimum distance method has to split data for constructing kernel density estimators and empirical measures. |

bandwidth

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