Problemy jakości danych statystycznych w przypadku badania cech rzadkich
Quality problems of statistical data in the case of the rare features study

Summary/Abstract: The authors presented estimation of parameters for rare characteristics as well as methods of the sample selection to the rare and hardly perceptible populations, which may provide an alternative or complement to research aimed at the common characteristics. The basic sampling schemes for rare characteristics, including the inverse sampling, capture-recapture sampling, location sampling, as well as line-intercept sampling and link-tracing design were described. Also the multiple frame concept and the trials of increased coverage are presented in the article. Difficulties arising from the use of conventional sampling schemes were exemplified with a simulation based on data from the Agricultural Census and household budget surveys. The existence of alternatives for such cases, along with the advantages and disadvantages of those solutions are pointed, too.

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