| dc.contributor.author | Meintanis, Simos G. | |
| dc.contributor.author | Allison, James S. | |
| dc.contributor.author | Santana, Leonard | |
| dc.date.accessioned | 2017-04-13T09:00:47Z | |
| dc.date.available | 2017-04-13T09:00:47Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | Meintanis, S.G. et al. 2016. Diagnostic tests for the distribution of random effects in multivariate mixed effects model. Communications in statistics. Theory and methods, 45(1):201-215. [https://doi.org/10.1080/03610926.2013.828073] | en_US |
| dc.identifier.issn | 0361-0926 | |
| dc.identifier.issn | 1532-415X (Online) | |
| dc.identifier.uri | http://hdl.handle.net/10394/21392 | |
| dc.identifier.uri | https://www.tandfonline.com/doi/full/10.1080/03610926.2013.828073 | |
| dc.identifier.uri | https://doi.org/10.1080/03610926.2013.828073 | |
| dc.description.abstract | Fourier methods are proposed for testing the distribution of random effects in classical and robust multivariate mixed effects models. The test statistics involve estimation of the characteristic function of random effects. Theoretical and computational issues are addressed while Monte Carlo results show that the new procedures compare favorably with other methods | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor & Francis | en_US |
| dc.subject | Empirical characteristic function | en_US |
| dc.subject | Goodness-of-fit test | en_US |
| dc.subject | Mixed effects model | en_US |
| dc.title | Diagnostic tests for the distribution of random effects in multivariate mixed effects model | en_US |
| dc.type | Article | en_US |
| dc.contributor.researchID | 21262977 - Meintanis, Simos George | |
| dc.contributor.researchID | 11985682 - Allison, James Samuel | |
| dc.contributor.researchID | 11803371 - Santana, Leonard | |
