dc.creator | Carrizosa Priego, Emilio José | es |
dc.creator | Romero Morales, María Dolores | es |
dc.date.accessioned | 2016-09-08T11:05:54Z | |
dc.date.available | 2016-09-08T11:05:54Z | |
dc.date.issued | 2007-03-01 | |
dc.identifier.citation | Carrizosa Priego, E.J. y Romero Morales, M.D. (2007). A biobjective method for sample allocation in stratified sampling. European Journal of Operational Research, 177 (2), 1074-1089. | |
dc.identifier.issn | 0377-2217 | es |
dc.identifier.uri | http://hdl.handle.net/11441/44834 | |
dc.description.abstract | The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified random sampling, the sample size must be allocated to strata in order to optimize both objectives. In this note we address, following a biobjective methodology, this allocation problem. A two-phase method is proposed to describe the set of Pareto-optimal solutions of this nonlinear integer biobjective problem. In the first phase, all supported Pareto-optimal solutions are described via a closed formula, which enables quick computation. Moreover, for the common case in which sampling costs are independent of the strata, all Pareto-optimal solutions are shown to be supported. For more general cost structures, the non-supported Pareto-optimal solutions are found by solving a parametric knapsack problem. Bounds on the criteria can also be imposed, directing the search towards implementable sampling plans. Our method provides a deeper insight into the problem than simply solving a scalarized version,
whereas the computational burden is reasonable. | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | European Journal of Operational Research, 177 (2), 1074-1089. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Integer programming | es |
dc.subject | Stratified random sampling | es |
dc.subject | Sample allocation | es |
dc.subject | Biobjective integer program | es |
dc.subject | Parametric knapsack problem | es |
dc.title | A biobjective method for sample allocation in stratified sampling | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.projectID | BFM2002-04525-C02-02 | es |
dc.relation.publisherversion | http://ac.els-cdn.com/S0377221706000178/1-s2.0-S0377221706000178-main.pdf?_tid=528c5e72-75b1-11e6-9b10-00000aacb362&acdnat=1473331693_c83d5282c6c245b4e09a8446ac5e5fde | es |
dc.identifier.doi | 10.1016/j.ejor.2005.11.027 | es |
dc.contributor.group | Universidad de Sevilla. FQM329: Optimizacion | es |
idus.format.extent | 21 p. | es |
dc.journaltitle | European Journal of Operational Research | es |
dc.publication.volumen | 177 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 1074 | es |
dc.publication.endPage | 1089 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/44834 | |
dc.contributor.funder | Ministerio de Ciencia y Tecnología (MCYT). España | |