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http://comimsa.repositorioinstitucional.mx/jspui/handle/1022/383| ESTIMATION PRECISION OF MULTIPLE REGRESSION BY RESPONSE VARIABLE DECOMPOSITION | |
| Pedro Pérez Villanueva | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| MULTIPLE REGRESSION | |
| Since in multiple linear regression, the coefficient vector estimated by Ordinary Least Square (OLS) and Ridge Regression (RR) are only estimations of the complete effect that a set of explanatory variables has over a response variable, in this paper we propose a general standard process, composed of steps to perform the decomposition of a response variable that is needed to obtain, in separate form, the direct effect, correlation effect between any pair of variables, quadratic effect and so on, that a set of explanatory variable has an over response variable in multiple linear regression. | |
| 2007-11 | |
| Memoria de congreso | |
| Inglés | |
| Estudiantes Investigadores | |
| ESTIMATION PRECISION OF MULTIPLE REGRESSION BY RESPONSE VARIABLE DE COMPOSITION Manuel R. Piña-Monarrez, Salvador A. Noriega M.2, and Pedro Pérez-Villanueva. Proceedings of the 12th Annual International Conference on Industrial Engineering Theory, Applications and Practice Cancun, Mexico November 4-7, 2007 | |
| INGENIERÍA Y TECNOLOGÍA | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | ARTÍCULOS/ CAPÍTULOS DE LIBRO / MEMORIAS DE CONGRESO |
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