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On representativeness, informative sampling, nonignorable nonresponse, semiparametric prediction and calibration

Eideh, Abdulhakeem - In: Statistics in transition : an international journal of … 24 (2023) 2, pp. 93-111

Informative sampling refers to a sampling design for which the sample selection probabilities depend on the values of … response units under informative sampling and nonignorable nonresponse. This is the most general situation in surveys and other … combinations of sampling informativeness and response mechanisms can be considered as special cases. Furthermore, based on the …

Persistent link: https://www.econbiz.de/10015052114

Parametric prediction of finite population total under Informative sampling and nonignorable nonresponse

Eideh, Abdulhakeem - In: Statistics in Transition New Series 21 (2020) 1, pp. 13-35

In this paper, we combine two methodologies used in the model-based survey sampling, namely the prediction of the … finite population total, named T, under informative sampling and full response, see Sverchkov and Pfeffermann (2004), and the … prediction of T with a noninformative sampling design and the nonignorable nonresponse mechanism, see Eideh (2012). The former …

Persistent link: https://www.econbiz.de/10012600216

Ergänzung fehlender Daten in Umfragen / Imputation of Missing Data in Surveys

Rässler, Susanne - In: Jahrbücher für Nationalökonomie und Statistik 220 (2000) 1, pp. 64-94

Zusammenfassung Gerade bei Umfragen mit sog. sensitiven Variablen, wie etwa dem Einkommen, ist bekannt, daß z. B. die Bezieher sehr hoher Einkommen eher zur Verweigerung der Beantwortung von Einkommensfragen neigen als andere. Einfaches Vernachlässigen der unvollständigen Datensätze für die...

Persistent link: https://www.econbiz.de/10014608751

Binary models with misclassification in the variable of interest

Ramalho, Esmeralda - Departamento de Economia, Universidade de Évora - 2004

misclassification and, for some sampling units, neither the error-prone variable of interest nor the covariates are recorded. A model to …

Persistent link: https://www.econbiz.de/10004990273

Using panel data to partially identify HIV prevalence When HIV status is not missing at random

Arpino, Bruno; De Cao, Elisabetta; Peracchi, Franco - "Carlo F. Dondena" Centre for Research on Social … - 2011

Good estimates of HIV prevalence are important for policy makers in order to plan control programs and interventions. Although population-based surveys are now considered the "gold standard" to monitor the HIV epidemic, they are usually plagued by problems of nonignorable nonresponse. This paper...

Persistent link: https://www.econbiz.de/10009653942

Bayesian analysis for incomplete multi-way contingency tables with nonignorable nonresponse

Park, Yousung; Choi, Bo-Seung - In: Journal of Applied Statistics 37 (2010) 9, pp. 1439-1453

We propose Bayesian methods with five types of priors to estimate cell probabilities in an incomplete multi-way contingency table under nonignorable nonresponse. In this situation, the maximum likelihood (ML) estimates often fall in the boundary solution, causing the ML estimates to become...

Persistent link: https://www.econbiz.de/10008674979