Cholesky decomposition of a variance matrix in repeated measures analysis
| dc.contributor.author | Lianto, S. | |
| dc.contributor.author | Mcgilchrist, C.A. | |
| dc.date.accessioned | 2014-05-20T10:25:16Z | |
| dc.date.available | 2014-05-20T10:25:16Z | |
| dc.date.issued | 1988 | |
| dc.description.abstract | The Cholesky decomposition is given for the inverse of a variance matrix occurring in repeated measures problems where observations have a , correlation structure both within and between experimental units. The use of this decomposition is outlined for ML and REML estimation procedures | en_US |
| dc.identifier.citation | Austral. J. Statist., 30(2), 1988, 228-234 | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1501 | |
| dc.language.iso | en | en_US |
| dc.title | Cholesky decomposition of a variance matrix in repeated measures analysis | en_US |
| dc.type | Article | en_US |