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DATA‐DRIVEN SMOOTH TESTS AND A DIAGNOSTIC TOOL FOR LACK‐OF‐FIT FOR CIRCULAR DATA |
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| Authors: | Heidi Wouters Olivier Thas Jean‐Pierre Ottoy |
| Affiliation: | 1. Ablynx nv, Technologiepark 4, B‐9052 Ghent, Belgium e‐mail:;2. Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, 9000 Ghent, Belgium |
| Abstract: | Two contributions to the statistical analysis of circular data are given. First we construct data‐driven smooth goodness‐of‐fit tests for the circular von Mises assumption. As a second method, we propose a new graphical diagnostic tool for the detection of lack‐of‐fit for circular distributions. We illustrate our methods on two real datasets. |
| Keywords: | circular data Neyman smooth tests PP‐plot |