!standard A.05(00) 03-12-04 AC95-00083/01

!class amendment 03-12-04

!status received no action 03-12-04

!status received 03-09-27

!subject Statistics packages

!class amendment 03-12-04

!status received no action 03-12-04

!status received 03-09-27

!subject Statistics packages

!summary

!appendix

From: Robert I. Eachus Sent: Saturday, September 27, 2003 10:29 PM I have been working for the past month or so off and on reorganizing the statistics software I have. The problem is that if you try to do anything fancy, you need half a dozen distributions and functions which are hard to calculate. For example, a package that does Chi Square testing ends up calculating F-distributions and incomplete beta functions. So I decided when I wanted to do another K-S test to reorganize things right, with all of the distributions reachable, and a different view into the packages by type of data. (One sample, one variable, then two samples one variable, then multivariate analysis.) So that if you want to run a Mann-Whitney U test that requires the Two_Sample package and so on. (Rather than having all the two-sample tests provide a different interface.) Should I submit this as a candidate for Ada 0Y? This has been on my "To-Do" list for years, but I finally realized this summer how it should be organized. And yes, most of the underlying code I wrote years ago. A lot of it predates Ada 95, but I finally realized how it should be organized. There are really two views, the user who doesn't care about the implementation, and the statistician who wants to be able to access all the distributions to be able to do things like K-S tests. Oh, and if this does get included, we probably should allow vendors to supply additional distributions. For each distribution I provide PDF, CDF, Inverse CDF, and a random variate generator. (Two random variate generators for Poisson, because both discrete counts and real interarrival times are useful.) But I currently have only Normal, Poisson, Binomial, Student's t, Exponential, Fisher's F, and Gamma. These allow most useful parametric and non-parametric tests to be made. I could add the Chi-Square as a separate distribution, but I haven't done that yet. ****************************************************************

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