Artículo
Influence Diagnostics in Regression with Complex Designs Through Conditional Bias
Autor/es | Jiménez Gamero, María Dolores
Moreno Rebollo, Juan Luis Muñoz Pichardo, Juan Manuel Muñoz Reyes, Ana María |
Departamento | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa |
Fecha de publicación | 2005 |
Fecha de depósito | 2022-10-26 |
Publicado en |
|
Resumen | One of the a,rea~s of Statistics in ~ hich the influence a, nalysis has been ~ idely stu.died
in the multiple linear regression model. Nevertheless, the influence diagnostics
propo,sed in this context cannot be applied ... One of the a,rea~s of Statistics in ~ hich the influence a, nalysis has been ~ idely stu.died in the multiple linear regression model. Nevertheless, the influence diagnostics propo,sed in this context cannot be applied to regression in complex survey, under randomized inference, s.ince the i.i.d, ca.se does not incorporate any probability weighting or population structure, such as clust, ering~ stratification or measures of size i~,to the analysis. In this paper we introduce ~)me influence diagnostics in regression in complex survey, They are built on the condition.al bias concept (Moreno-R, ebollo el, a,l,, 1999). We emphasize the similarities an.d differences of the propo.sed measures with respect to the existing ones for the i.i,d, case. |
Cita | Jiménez Gamero, M.D., Moreno Rebollo, J.L., Muñoz Pichardo, J.M. y Muñoz Reyes, A.M. (2005). Influence Diagnostics in Regression with Complex Designs Through Conditional Bias. Test, 14 (2), 515-542. https://doi.org/10.1007/BF02595416. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
BF02595416.pdf | 1.207Mb | [PDF] | Ver/ | |