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Fitting a Two Parameters of Weibull Distribution | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 23, Issue 6, 2012, Pages 137-148 | ||
| Author | ||
| Rasha Abdul Hussein Ali | ||
| Abstract | ||
| Goodness of fit test is used to determine how well the observed sample data fits with a proposed model. The test is based on the empirical distribution function, these test statistics are a variable when the hypothesized distribution is completely specified and the parameters of the distribution are unknown and must be estimated from the sample data. In this paper, some numerical results were obtained through a simulation study to obtaincritical values of Kolmogorov-Smirnov D test, Cramer-Von Mises W2 test and Anderson-Darling A2 test. For weibull distribution with unknown parameters, this simulation was carried out using Monte Carlo techniques to create table of critical values for such tests. Furthermore, the power comparison between D test, W2 test and A2 test is investigated for a three alternative distributions. | ||
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