Contributions to Sampling Statistics

• 1 P.S. Kott: Calibration Weighting When Model and Calibration Variables Can Differ.- 2 M. Pratesi: M-quantile small area models for measuring poverty at a local level.- 3 A.C. Singh.- 4 J.F. Beaumont: The Analysis of Survey Data using the Bootstrap.- 5 Y.G. Berger, O. De La Riva Torres: Empirical likelihood confidence intervals: an application to the EU-SILC household surveys.- 6 A. Bianchi, S. Biffignandi: Responsive design for economic data in mixedmode panels.- 7 P.M. Chiodini, M.Zenga: Comparing the efficiency of sample plans for symmetric and non-symmetric distributions in auditing.- 8 C. De Vitiis, S.Falorsi, F. Inglese: Implementing the First ISTAT Survey of Homeless Population by Indirect Sampling and Weight Sharing Method.- 9 D. Marella, P.Vicard: Modelling measurement errors by object-oriented Bayesian Networks: an application to 2008 SHIW.- 10 G.E. Montanari, G. Cicchitelli: Sampling theory and Geostatistics: a way of Reconciliation.- 11 N. Nangsue, Y.G. Berger: Optimal regression estimator for stratified two-stage Sampling.- 12 F. Piersimoni, P. Postiglione, R. Benedetti: Spatial sampling for agricultural data.- 13 M. Polisicchio, F.Porro: A multi-proportion randomized response model using the inverse sampling.- 14 P. Righi, S. Falorsi, A. Fasulo: A modified Extended Delete a Group Jackknife variance estimator under random hot deck imputation in business surveys.

“The book offers a collection of fourteen selected works presented at the 3rd Italian Conference on Survey Methodology … . Each paper contains a list of the most recent sources. The monograph can serve as a ‘hot topics reference’ … to lecturers, professionals and practitioners dealing with survey sampling techniques.” (Stan Lipovetsky, Technometrics, Vol. 58 (2), 2016)