The degree of asymmetry of a distribution. If the distribution has a longer tail less than the maximum, the function has
Negative skewness. Otherwise, it has Positive skewness. Several types of skewness are defined. The
Fisher Skewness is defined by

(1) |

(2) |

(3) |

(4) |

(5) |

(6) |

(7) |

(8) |

An Estimator for the Fisher Skewness is

(9) |

(10) |

**References**

Abramowitz, M. and Stegun, C. A. (Eds.).
*Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 9th printing.*
New York: Dover, p. 928, 1972.

Press, W. H.; Flannery, B. P.; Teukolsky, S. A.; and Vetterling, W. T. ``Moments of a Distribution: Mean,
Variance, Skewness, and So Forth.'' §14.1 in
*Numerical Recipes in FORTRAN: The Art of Scientific Computing, 2nd ed.* Cambridge, England:
Cambridge University Press, pp. 604-609, 1992.

© 1996-9

1999-05-26