When indirect sampling is used jointly with the sampling of clusters of persons many complications arise for the survey statistician. One of the complications relates to the computation of the estimates from the survey. The production of estimates of simple totals or means can then become nightmares for the survey statistician. This book proposes a simple, easy to implement solution to this problem: the generalized weight share method. It presents the theory surrounding indirect sampling and the generalized weight share method as well as the different possible applications that drive its interest. The reader will find in this book the answer to questions that come, inevitably, when working in a context of indirect sampling.

Parameters are estimated by not sampling the target population, but another population that is linked to the target one The proposed approach offers elegant and practical solutions

Inhalt
Description and Use of the GWSM.- Literature Review.- Properties.- Other Generalisations.- Application in Longitudinal Surveys.- GWSM and Calibration.- Non-response.- GWSM and Record Linkage.- Conclusion.