Prediction of finite population totals based on the sample distribution

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From start to finish: a framework for the production of small area official statistics (2018, background): “Sverchkov and Pfeffermann (2004) suggested generating a pseudopopulation by using the sample data.”
Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas (2007, methodology): “The second assumption is also not restrictive, because the population outcomes are conditionally independent given the random effects, and by extending remark 2 of Sverchkov and Pfeffermann (2004) to the case of a joint distribution for a pair of units, it follows that for small sampling fractions, ”
A new approach to weighting and inference in sample surveys (2008, methodology): “It has been employed for the more efficient estimation of model parameters in Pfeffermann & Sverchkov (1999) and for the prediction of nonsampled units in Sverchkov & Pfeffermann (2004), who considered the estimation of finite population parameters.”
A Bayesian Analysis of Body Mass Index Data From Small Domains Under Nonignorable Nonresponse and Selection (2010, background): “Sverchkov and Pfeffermann (2004) defined the sample and samplecomplement distributions as two separate weighted distributions (see Patil and Rao 1978) for developing design-consistent predictors of the finite population total.”