This function evaluates the mean integrated squared error of a density estimate which is constructed from data which follow a normal distribution.

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`sd` |
the standard deviation of the normal distribution from which the data arise. |

`n` |
the sample size of the data. |

`h` |
the smoothing parameter used to construct the density estimate. |

see Section 2.4 of the reference below.

the mean integrated squared error of the density estimate.

Bowman, A.W. and Azzalini, A. (1997). *Applied Smoothing Techniques for
Data Analysis: the Kernel Approach with S-Plus Illustrations.*
Oxford University Press, Oxford.

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