A Monte Carlo evaluation of the performance of two new tests for symmetry
We propose two new tests for symmetry based on well-known characterisations of symmetric distributions. The performance of the new tests is evaluated and compared to that of other existing tests by means of a Monte Carlo study. All tests are carried out in a regression setup where we test whether th...
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| Veröffentlicht in: | Computational statistics 2017-12, Vol.32 (4), p.1323-1338 |
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| container_title | Computational statistics |
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| creator | Allison, James S. Pretorius, Charl |
| description | We propose two new tests for symmetry based on well-known characterisations of symmetric distributions. The performance of the new tests is evaluated and compared to that of other existing tests by means of a Monte Carlo study. All tests are carried out in a regression setup where we test whether the error distribution in a linear regression model is symmetric. It is found that the newly proposed tests perform favourably compared to the other tests. |
| doi_str_mv | 10.1007/s00180-016-0680-4 |
| format | Article |
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| ispartof | Computational statistics, 2017-12, Vol.32 (4), p.1323-1338 |
| issn | 0943-4062 1613-9658 |
| language | eng |
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| source | SpringerLink Journals |
| subjects | Computer simulation Economic Theory/Quantitative Economics/Mathematical Methods Mathematics and Statistics Monte Carlo simulation Original Paper Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Regression models Statistics Symmetry |
| title | A Monte Carlo evaluation of the performance of two new tests for symmetry |
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