Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas

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Small area estimation of general parameters with application to poverty indicators: A hierarchical Bayes approach (2014, background): “Pfeffermann and Sverchkov (2007) considered the estimation of small area means under informative sampling in the context of two-stage sampling.”
A Bayesian Analysis of Body Mass Index Data From Small Domains Under Nonignorable Nonresponse and Selection (2010, background): “Pfeffermann and Sverchkov (2007) recently published further development of this work within the small-area context with informative sampling of areas and within selected areas.”
Mixed model prediction and small area estimation (2006, background): “Pfeffermann and Sverchkov (2005) propose a general approach to deal with the problem of informative sampling.”
Are Survey Weights Needed? A Review of Diagnostic Tests in Regression Analysis (2016, methodology): “Pfeffermann & Sverchkov (1999, 2007) proposed WA tests different than those that we have so far compared to the DC tests.”
New important developments in small area estimation (2013, background): “Pfeffermann and Sverchkov (2007) illustrate their approach by assuming that the sample model is the unit-level model (5.3) with normal random effects and residuals, and that the sampling weights within the selected areas have sample model expectations, Esi(wj|i|xij , yij, ui, Ii = 1) =Esi(wj|i|xij…”