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[null,"1.","Record Nr.",null,"UNINA9910299967203321"]
[null,null,"Titolo",null,"Contributions to Sampling Statistics / / edited by Fulvia Mecatti, Pier Luigi Conti, Maria Giovanna Ranalli"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"3-319-05320-5"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (236 p.)"]
[null,null,"Collana",null,"Contributions to Statistics, , 2628-8966"]
[null,null,"Disciplina",null,"519.52"]
[null,null,"Soggetti",null,"Actuarial science"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Social sciences - Statistical methods"]
[{"$nulls":4},"Mathematics"]
[{"$nulls":4},"Social sciences"]
[{"$nulls":4},"Sociology - Methodology"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Actuarial Mathematics"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy"]
[{"$nulls":4},"Mathematics in the Humanities and Social Sciences"]
[{"$nulls":4},"Sociological Methods"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters."]
[null,null,"Nota di contenuto",null,"1 P.S. Kott: Calibration Weighting When Model and Calibration Variables Can Differ -- 2 M. Pratesi: M-quantile small area models for measuring poverty at a local level -- 3 A.C. Singh -- 4 J.F. Beaumont: The Analysis of Survey Data using the Bootstrap -- 5 Y.G. Berger, O. De La Riva Torres: Empirical likelihood confidence intervals: an application to the EU-SILC household surveys -- 6 A. Bianchi, S. Biffignandi: Responsive design for economic data in mixedmode panels -- 7 P.M. Chiodini, M.Zenga: Comparing the efficiency of sample plans for symmetric and non-symmetric distributions in auditing -- 8 C. De Vitiis, S.Falorsi, F. Inglese: Implementing the First ISTAT Survey of Homeless Population by "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013. ITACOSM is the bi-annual meeting of the Survey Sampling Group S2G of the Italian Statistical Society, intended as an international  forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human and natural sciences. The book gathers research papers carefully selected from both invited and contributed sessions of the conference. The whole book appears to be a relevant contribution to various key aspects of sampling methodology and techniques; it deals with some hot topics in sampling theory, such as calibration, quantile-regression and multiple frame surveys, and with innovative methodologies in important topics of both sampling theory and applications. Contributions cut across current sampling methodologies such as interval estimation for complex samples, randomized responses, bootstrap, weighting, modeling, imputation, small area estimation and effective use of auxiliary information; applications cover a wide and enlarging range of subjects in official household surveys, Bayesian networks for measurement error, auditing, business and economic surveys, geostatistics and  agricultural statistics. The book is an updated, high level reference addressed to researchers, professionals and practitioners in many fields."]