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On combining independent probability samples
Swedish Univ Agr Sci, Umeå.
Swedish Univ Agr Sci, Umeå; Umeå Univ, Umeå.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för naturvetenskap.
Umeå Univ, Umeå.
Vise andre og tillknytning
2019 (engelsk)Inngår i: Survey Methodology, ISSN 0714-0045, E-ISSN 1492-0921, Vol. 45, nr 2, s. 349-364Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Merging available sources of information is becoming increasingly important for improving estimates of population characteristics in a variety of fields. In presence of several independent probability samples from a finite population we investigate options for a combined estimator of the population total, based on either a linear combination of the separate estimators or on the combined sample approach. A linear combination estimator based on estimated variances can be biased as the separate estimators of the population total can be highly correlated to their respective variance estimators. We illustrate the possibility to use the combined sample to estimate the variances of the separate estimators, which results in general pooled variance estimators. These pooled variance estimators use all available information and have potential to significantly reduce bias of a linear combination of separate estimators.

sted, utgiver, år, opplag, sider
2019. Vol. 45, nr 2, s. 349-364
Emneord [en]
Horvitz-Thompson estimator, Inclusion probabilities, Linear combination estimator, Variance estimation
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-36809ISI: 000473107900009OAI: oai:DiVA.org:miun-36809DiVA, id: diva2:1341606
Tilgjengelig fra: 2019-08-09 Laget: 2019-08-09 Sist oppdatert: 2019-08-09bibliografisk kontrollert

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