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CiteExport$(function(){PrimeFaces.cw("TieredMenu","widget_formSmash_upper_j_idt162",{id:"formSmash:upper:j_idt162",widgetVar:"widget_formSmash_upper_j_idt162",autoDisplay:true,overlay:true,my:"left top",at:"left bottom",trigger:"formSmash:upper:exportLink",triggerEvent:"click"});}); $(function(){PrimeFaces.cw("OverlayPanel","widget_formSmash_upper_j_idt169_j_idt171",{id:"formSmash:upper:j_idt169:j_idt171",widgetVar:"widget_formSmash_upper_j_idt169_j_idt171",target:"formSmash:upper:j_idt169:permLink",showEffect:"blind",hideEffect:"fade",my:"right top",at:"right bottom",showCloseIcon:true});});

Pareto sampling versus Sampford and Conditional Poisson samplingPrimeFaces.cw("AccordionPanel","widget_formSmash_some",{id:"formSmash:some",widgetVar:"widget_formSmash_some",multiple:true}); PrimeFaces.cw("AccordionPanel","widget_formSmash_all",{id:"formSmash:all",widgetVar:"widget_formSmash_all",multiple:true});
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PrimeFaces.cw("AccordionPanel","widget_formSmash_responsibleOrgs",{id:"formSmash:responsibleOrgs",widgetVar:"widget_formSmash_responsibleOrgs",multiple:true}); 2006 (English)In: Scandinavian Journal of Statistics, ISSN 0303-6898, E-ISSN 1467-9469, Vol. 33, no 4, 699-720 p.Article in journal (Refereed) Published
##### Abstract [en]

##### Place, publisher, year, edition, pages

Wiley InterScience , 2006. Vol. 33, no 4, 699-720 p.
##### Keyword [en]

acceptance–rejection, conditional Poisson sampling, Horvitz–Thompson estimator, inclusion probabilities, Laplace approximation, Pareto sampling, πps sample, Sampford sampling, variance estimation
##### National Category

Probability Theory and Statistics
##### Research subject

Mathematical Statistics
##### Identifiers

URN: urn:nbn:se:umu:diva-7839DOI: 10.1111/j.1467-9469.2006.00497.xOAI: oai:DiVA.org:umu-7839DiVA: diva2:147510
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PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt987",{id:"formSmash:j_idt987",widgetVar:"widget_formSmash_j_idt987",multiple:true});
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PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt998",{id:"formSmash:j_idt998",widgetVar:"widget_formSmash_j_idt998",multiple:true});
Available from: 2008-01-13 Created: 2008-01-13 Last updated: 2016-03-07Bibliographically approved
##### In thesis

Pareto sampling was introduced by Rosén in the late 1990s. It is a simple method to get a fixed size ** π**ps sample though with inclusion probabilities only approximately as desired. Sampford sampling, introduced by Sampford in 1967, gives the desired inclusion probabilities but it may take time to generate a sample. Using probability functions and Laplace approximations, we show that from a probabilistic point of view these two designs are very close to each other and asymptotically identical. A Sampford sample can rapidly be generated in all situations by letting a Pareto sample pass an acceptance–rejection filter. A new very efficient method to generate conditional Poisson (

1. Contributions to the theory of unequal probability sampling$(function(){PrimeFaces.cw("OverlayPanel","overlay216730",{id:"formSmash:j_idt1375:0:j_idt1379",widgetVar:"overlay216730",target:"formSmash:j_idt1375:0:parentLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

doi
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CiteExport$(function(){PrimeFaces.cw("TieredMenu","widget_formSmash_lower_j_idt1889",{id:"formSmash:lower:j_idt1889",widgetVar:"widget_formSmash_lower_j_idt1889",autoDisplay:true,overlay:true,my:"left top",at:"left bottom",trigger:"formSmash:lower:exportLink",triggerEvent:"click"});}); $(function(){PrimeFaces.cw("OverlayPanel","widget_formSmash_lower_j_idt1890_j_idt1892",{id:"formSmash:lower:j_idt1890:j_idt1892",widgetVar:"widget_formSmash_lower_j_idt1890_j_idt1892",target:"formSmash:lower:j_idt1890:permLink",showEffect:"blind",hideEffect:"fade",my:"right top",at:"right bottom",showCloseIcon:true});});