An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters
A mixed model simultaneous procedure is described to estimate location parameters for the right-censored and uncensored traits in the practical animal breeding data set for herd-life and milk production. Location parameters of fixed effects represented by herd -year effects and random effects repres...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
1997
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/28814 |
| _version_ | 1855514941832822784 |
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| author | Togashi, K. Rege, J.E.O. |
| author_browse | Rege, J.E.O. Togashi, K. |
| author_facet | Togashi, K. Rege, J.E.O. |
| author_sort | Togashi, K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A mixed model simultaneous procedure is described to estimate location parameters for the right-censored and uncensored traits in the practical animal breeding data set for herd-life and milk production. Location parameters of fixed effects represented by herd -year effects and random effects represented by sire additive genetic effects were given as the mode of posterior distribution resulting from a combination of a multivariate normal density and a standard normal cumulative distribution function. An iterative method for solving mixed model equations is presented for this kind of data analysis without explicitly setting up the equations. |
| format | Journal Article |
| id | CGSpace28814 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1997 |
| publishDateRange | 1997 |
| publishDateSort | 1997 |
| record_format | dspace |
| spelling | CGSpace288142022-01-29T15:59:48Z An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters Togashi, K. Rege, J.E.O. genetic parameters herds models statistical methods milk yield A mixed model simultaneous procedure is described to estimate location parameters for the right-censored and uncensored traits in the practical animal breeding data set for herd-life and milk production. Location parameters of fixed effects represented by herd -year effects and random effects represented by sire additive genetic effects were given as the mode of posterior distribution resulting from a combination of a multivariate normal density and a standard normal cumulative distribution function. An iterative method for solving mixed model equations is presented for this kind of data analysis without explicitly setting up the equations. 1997 2013-05-06T07:01:29Z 2013-05-06T07:01:29Z Journal Article https://hdl.handle.net/10568/28814 en Limited Access J I R C A S Journal;no. 5: 51-63 |
| spellingShingle | genetic parameters herds models statistical methods milk yield Togashi, K. Rege, J.E.O. An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters |
| title | An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters |
| title_full | An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters |
| title_fullStr | An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters |
| title_full_unstemmed | An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters |
| title_short | An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters |
| title_sort | iterative procedure for analyzing a combination of censored and uncensored traits in mixed models estimation of location parameters |
| topic | genetic parameters herds models statistical methods milk yield |
| url | https://hdl.handle.net/10568/28814 |
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