A hierarchical multi-level model for compromise allocation in multivariate stratified sample surveys with non-response problem

Stratified sampling, a widely-applicable probabilistic technique, is especially suited for large and heterogeneously distributed populations. This paper studies optimal allocation of sampling units to minimize variances and cost. Given that not all strata hold equal importance in survey projects, we...

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Vydané v:	Knowledge-based systems Ročník 278; s. 110839
Hlavní autori:	Jalil, Syed Aqib, Haq, Ahteshamul, Owad, Ali Al, Hashmi, Nausheen, Adichwal, Nitesh Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 25.10.2023
Predmet:	Compromise allocation Multi-level programming Multivariate stratified sample survey Multi-level programming Multivariate stratified sample survey Compromise allocation
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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