Length-Biased Sampling: A Review
2007 (English)Report (Other academic)
A frequent sampling design problem is length-biased sampling. This meansthat the probabilities of sample inclusion of population units are relatedto the values of the variable being measured. Parameter estimates maybecome biased and inconsistent if this sampling problem is ignored. Thispaper contains a review of applications characterized by length-biased samplingand the suggested solutions. The paper also includes a small simulationstudy on the properties of corrected mean estimators under misspecifiedsampling inclusion probabilities. Results indicate the importance ofcorrectly specified sampling inclusion mechanisms.
Place, publisher, year, edition, pages
Length-bias, On-site, Sample inclusion, Poisson distribution
Social Sciences Social Sciences
Research subject Statistics
IdentifiersURN: urn:nbn:se:su:diva-87053OAI: oai:DiVA.org:su-87053DiVA: diva2:600716