[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: Does invnormal have a symbol? |

Date |
Thu, 31 Jul 2008 10:39:32 +0100 |

People often represent it using capital phi and a superscript power -1. No doubt there is cause for feeling queasy about that, as the idea of an inverse and the idea of a reciprocal are not the same (although they overlap). Nevertheless you'd be in very good company in using such a symbol. Although the inverse cdf terminology is clearly very common, there is a good case for using the terminology of quantile functions. Stata's function terminology is, in this respect, I believe inferior to that of S and now R, which has clean conventions using p, q and r to indicate kinds of functions. However, that does not help you much in your search for symbols. It seems quite common to use Q() rather than F^{-1}() to indicate quantile functions in general, but I don't think that would be common for the normal quantile function. The inverse cdf terminology is particularly strained if you have cause to discuss the inverse of the inverse gamma or inverse Gaussian cumulative distribution function. Nick n.j.cox@durham.ac.uk tiago.pereira@incor.usp.br I am using the inverse normal cumulative distribution function (invnormal in Stata), and would like to know if there is a way to represent it using a symbol like the cumulative normal distribution, which is usually represented by the greek letter phi. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Does invnormal have a symbol?***From:*tiago.pereira@incor.usp.br

- Prev by Date:
**RE: st: Monte Carlo simulations** - Next by Date:
**RE: st: RE: Dialog Programming** - Previous by thread:
**st: Does invnormal have a symbol?** - Next by thread:
**RE: st: RE: st: Monte Carlo simulations** - Index(es):

© Copyright 1996–2016 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |