On the Resampling of the Unbalanced Ranked Set Sample
(English)Manuscript (preprint) (Other academic)
This paper considers the bootstrap approach of the unbalanced Ranked Set Sampling (RSS) method. Herethe sequence bootstrap is used to shift the analysis of the unbalanced RSS method to an analysis ofthe balanced RSS sample, and balanced RSS is also discussed. Here the consequences of differentalgorithms for carrying out resampling are discussed. The proposed methods are studied using Monte Carloinvestigations. Furthermore, the theoretical approach is discussed.
Bootstrap method; Monte Carlo simulation; Ranked set sample
Probability Theory and Statistics
Research subject Statistics
IdentifiersURN: urn:nbn:se:uu:diva-158983OAI: oai:DiVA.org:uu-158983DiVA: diva2:441935