Goodness-of-fit tests for the beta Gompertz distribution
This article studied the goodness-of-fit tests for the beta Gompertz distribution with four parameters based on a complete sample. The parameters were estimated by the maximum likelihood method. Critical values were found by Monte Carlo simulation for the modified Kolmogorov-Smirnov, And...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
VINCA Institute of Nuclear Sciences
2020-01-01
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| Series: | Thermal Science |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-9836/2020/0354-983620069A .pdf |
| Summary: | This article studied the goodness-of-fit tests for the beta Gompertz
distribution with four parameters based on a complete sample. The parameters
were estimated by the maximum likelihood method. Critical values were found
by Monte Carlo simulation for the modified Kolmogorov-Smirnov,
Anderson-Darling, Cramer-von Mises, and Lilliefors test statistics. The
power of these test statistics founded the optimal alternative distribution.
Real data applications were used as examples for the goodness of fit tests. |
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| ISSN: | 0354-9836 2334-7163 |