Titlebook: Contributions to Sampling Statistics; Fulvia Mecatti,Pier Luigi Conti,Maria Giovanna Ran Book 2014 Springer International Publishing Switz

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Fields with Prescribed Valuations, we present a review of the main topic concerning sampling spatial units. In particular, we focus our attention to spatially distributed agricultural data, which are extremely important as a support for both policy makers and market stakeholders. Our narrative aims at raising some research questions that can be explored in the near future.

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Responsive Design for Economic Data in Mixed-Mode Panels,. Special attention is devoted to non-response bias reduction. Some thoughts on the consequences on total survey error (TSE) are also proposed. The empirical analysis is based on data from the recruitment of a mixed-mode panel for businesses, the PAADEL panel.

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Modelling Measurement Errors by Object-Oriented Bayesian Networks: An Application to 2008 SHIW,ry information improves the results. Finally, potentialities and possible extensions of the Bayesian network approach both to the measurement error context and to official statistics problems in general are discussed.

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Spatial Sampling for Agricultural Data, we present a review of the main topic concerning sampling spatial units. In particular, we focus our attention to spatially distributed agricultural data, which are extremely important as a support for both policy makers and market stakeholders. Our narrative aims at raising some research questions that can be explored in the near future.

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Volcanic Landforms and Surface Features In this paper, we summarize the ideas set out in some recent papers on M-quantile methods and their extensions and also comment on important issues that arise when SAE methods are used in poverty assessment in three Italian Regions.

freight

Anatomy and Synaptology of the Optic Tectummator. The attention is focused on continuous spatial populations. A simulation study provides an empirical efficiency comparison between this estimator and the kriging predictor by means of Monte Carlo experiments.