Cargando…

Ordered regression models: parallel, partial, and non-parallel alternatives

Detalles Bibliográficos
Autores principales: Fullerton, Andrew S, Xu, Jun
Lenguaje:eng
Publicado: CRC Press 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2204704
_version_ 1780951477793062912
author Fullerton, Andrew S
Xu, Jun
author_facet Fullerton, Andrew S
Xu, Jun
author_sort Fullerton, Andrew S
collection CERN
id cern-2204704
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher CRC Press
record_format invenio
spelling cern-22047042021-04-21T19:34:39Zhttp://cds.cern.ch/record/2204704engFullerton, Andrew SXu, JunOrdered regression models: parallel, partial, and non-parallel alternativesMathematical Physics and MathematicsCRC Pressoai:cds.cern.ch:22047042016
spellingShingle Mathematical Physics and Mathematics
Fullerton, Andrew S
Xu, Jun
Ordered regression models: parallel, partial, and non-parallel alternatives
title Ordered regression models: parallel, partial, and non-parallel alternatives
title_full Ordered regression models: parallel, partial, and non-parallel alternatives
title_fullStr Ordered regression models: parallel, partial, and non-parallel alternatives
title_full_unstemmed Ordered regression models: parallel, partial, and non-parallel alternatives
title_short Ordered regression models: parallel, partial, and non-parallel alternatives
title_sort ordered regression models: parallel, partial, and non-parallel alternatives
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2204704
work_keys_str_mv AT fullertonandrews orderedregressionmodelsparallelpartialandnonparallelalternatives
AT xujun orderedregressionmodelsparallelpartialandnonparallelalternatives