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

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dc.contributor.authorEideh, Abdulhakeem
dc.date.accessioned2020-07-21T09:33:32Z
dc.date.available2020-07-21T09:33:32Z
dc.date.issued2020-04-02
dc.description.abstractIn 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 approach involves the dependence of the first order inclusion probabilities on the study variable, while the latter involves the dependence of the probability of nonresponse on unobserved or missing observations. The main aim of the paper is to consider how to account for the joint effects of informative sampling designs and notmissing- at-random response mechanism in statistical models for complex survey data. For this purpose, theoretically, we use the response distribution and relationships between the moments of the superpopoulation, the sample, sample-complement, response, and nonresponse distributions for the prediction of finite population totals, see Eideh (2016). The derived parametric predictors of T use the observation for the response set of the study variable or variable of interest, values of auxiliary variables and their population totals, sampling weights, and propensity scores. An interesting outcome of the T study is that most predictors known from model-based survey sampling can be derived as a special case from this general theory, see Chambers and Clark (2012).en_US
dc.description.sponsorshipThe research was partially supported by a grant from DAAD (Deutscher Akademischer Austauschdienst German Academic Exchange Service) - Research Stays for University Academics and Scientists, 2018. Also, the author would like to thank Professor Timo Schmid for hosting the author during his visit to Free University Berlin.en_US
dc.identifier.urihttps://dspace.alquds.edu/handle/20.500.12213/5687
dc.language.isoenen_US
dc.subjectresponse distributionen_US
dc.subjectnonignorable nonresponseen_US
dc.subjectinformative sampling designen_US
dc.titleParametric prediction of finite population total under Informative sampling and nonignorable nonresponseen_US
dc.typeArticleen_US
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