Stochastic optimal design in multivariate stratified sampling

This work considers the allocation problem for multivariate stratified random sampling as a problem of integer non-linear stochastic multiobjective mathematical programming. With this goal in mind the asymptotic distribution of the vector of sample variances is studied. Two alternative approaches ar...

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Veröffentlicht in:	Optimization Jg. 63; H. 11; S. 1665 - 1688
Hauptverfasser:	Díaz-García, José A., Ramos-Quiroga, Rogelio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Philadelphia Routledge 01.11.2014 Taylor & Francis LLC
Schlagworte:	Allocations Asymptotic methods Asymptotic properties Design optimization goal programming Integer programming Mathematical analysis Mathematical problems Mathematical programming multiobjective E-model multiobjective P-model multiobjective V-model multivariate stratified random sampling Optimization optimum allocation Random number sampling Random sampling Sampling Stochastic models stochastic multiobjective programming Stochasticity Studies Vectors (mathematics)
ISSN:	0233-1934, 1029-4945
Online-Zugang:	Volltext
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