A simplified treatment of the restricted analysis of a slightly disproportionate factorial experiment
This paper considers a procedure to obtain effect estimators in the least squares analysis of a slightly disproportionate factorial design when a sample survey is made of the results of an extensive experiment. Explicit formulae have been found for the restricted estimators and their variances, when...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 1988 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099/3967 |
| Acceso en línea: | https://hdl.handle.net/2099/3967 |
| Access Level: | acceso abierto |
| Palabra clave: | Inference Statistics Inferència Disseny d'experiments Classificació AMS::62 Statistics::62J Linear inference, regression Classificació AMS::62 Statistics::62K Design of experiments |
| Sumario: | This paper considers a procedure to obtain effect estimators in the least squares analysis of a slightly disproportionate factorial design when a sample survey is made of the results of an extensive experiment. Explicit formulae have been found for the restricted estimators and their variances, when the constraints normally imposed upon a proportional model are used. In addition, an approximate analysis of the original model is used to perform that estimation, and an approximate analysis of variance table is proposed. |
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