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A FORTRAN Computer Program to Perform Goodness of Fit Testing on Empirical Data.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Guthrie, Sue D. |
| Copyright Year | 1979 |
| Abstract | Abstract : This document describes a FORTRAN computer program which performs statistical goodness of fit tests on empirical data. Four goodness of fit methods are available: chi-square, Kolmogorov-Smirnov, Cramer-Von Mises, and the moments test for normality. Data may be tested against any one of ten theoretical probability distributions: Poisson, exponential, normal, log-normal, gamma, Erlang-k, chi-square, triangular, uniform, or Weibull. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://apps.dtic.mil/dtic/tr/fulltext/u2/a123401.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |