{"id":13163,"date":"2024-04-19T15:43:37","date_gmt":"2024-04-19T13:43:37","guid":{"rendered":"https:\/\/www.istat.it\/?page_id=13163"},"modified":"2024-04-24T12:22:27","modified_gmt":"2024-04-24T10:22:27","slug":"design-methods","status":"publish","type":"page","link":"https:\/\/www.istat.it\/en\/classifications-and-tools\/methods-and-software-of-the-statistical-process\/design-phase\/design-methods\/","title":{"rendered":"Design methods"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Design frame and sample<\/h2>\n\n\n\n<p><strong><a href=\"https:\/\/www.istat.it\/it\/files\/\/2016\/10\/B_14149-eng.pdf\">Generalized Framework for Defining the Optimal Inclusion Probabilities of One-Stage Sampling Designs for Multivariate and Multi-domain Surveys<\/a><\/strong><br>2015<br>Survey Methodology, 41.<\/p>\n\n\n\n<p>MEMOBUST \u2013 Handbook on Methodology of Modern Business Statistics:<br><strong><a href=\"https:\/\/ec.europa.eu\/eurostat\/cros\/content\/statistical-registers-and-frames\">Statistical Registers and Frames<\/a><\/strong><br><strong><a href=\"https:\/\/ec.europa.eu\/eurostat\/cros\/content\/sample-selection\">Sample Selection<\/a><\/strong><br>2014<br>MEETS ESSnet MEMOBUST<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">References<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Falorsi, S., C. De Vitiis, L. Di Consiglio, C. Ceccarelli, A. Cutillo, e C. Rinaldelli. 2008. \u201cStrategia di campionamento e precisione delle stime\u201d. In \u201c<a href=\"https:\/\/www.istat.it\/it\/files\/\/2014\/06\/met_norme0837_indagine_europea_sui_redditi_Eu-Silc.pdf\"><em>L\u2019indagine europea sui redditi e le condizioni di vita delle famiglie (Eu-Silc)<\/em><\/a>\u201c. Metodi e Norme, N. 37. Roma: Istat.<\/li>\n\n\n\n<li>De Vitiis, C., L. Di Consiglio, S. Falorsi, e R. Ranaldi. 2006. \u201cIl disegno campionario della nuova indagine e la fase di estrazione\u201d. In \u201c\u00a0<a href=\"https:\/\/www.istat.it\/it\/files\/\/2014\/06\/met_norme_06_32_-rilevazione_forze_lavoro.pdf\"><em>La rilevazione sulle forze di lavoro: contenuti, metodologie, organizzazione<\/em><\/a>\u201c. Metodi e Norme, N. 32. Roma: Istat.<\/li>\n\n\n\n<li>De Vitiis, C., e S. Falorsi. 2006. \u201cIl piano di campionamento\u201d. In \u201c<a href=\"https:\/\/www.istat.it\/it\/files\/\/2014\/06\/met_-norme_06_31_il_sistema_di_indagini_multiscopo.pdf\"><em>Il sistema di indagini sociali multiscopo. Contenuti e metodologia delle indagini<\/em><\/a>\u201d. Metodi e Norme, N. 31. Roma: Istat.<\/li>\n\n\n\n<li>De Vitiis, C., e A. Pareto. 2006. \u201cStrategia di campionamento e livello di precisione delle stime\u201d. In \u201c<a href=\"https:\/\/www.istat.it\/it\/files\/\/2014\/06\/met_norme_06_28_indagine_campionaria_nascite.pdf\"><em>L\u2019indagine campionaria sulle nascite: obiettivi, metodologia e organizzazione<\/em><\/a>\u201d. Metodi e Norme, N. 28. Roma: Istat.<\/li>\n\n\n\n<li>Cicchitelli, G., A. Herzel, e G.E. Montanari. 1992.\u00a0<em>Il campionamento statistico.<\/em>\u00a0Bologna: Il Mulino.<\/li>\n\n\n\n<li>S\u00e4rndal, C.E., B. Swensson, and J. Wretman 1992.\u00a0<em>Model Assisted Survey Sampling.\u00a0<\/em>New York: Springer-Verlag.<\/li>\n\n\n\n<li>Bethel J. 1989.\u00a0<a href=\"https:\/\/www.istat.it\/it\/files\/\/2016\/10\/Sample-Allocation-in-Multivariate-Surveys.pdf\">Sample Allocation in Multivariate Surveys<\/a>.\u00a0<em>Survey Methodology<\/em>, Volume 15, N. 1: 47-57.<\/li>\n\n\n\n<li>Chromy, J. R. 1987.\u00a0<a href=\"https:\/\/www.istat.it\/it\/files\/\/2016\/10\/chromy1987_029.pdf\">Design Optimization with Multiple Objectives<\/a>. In\u00a0<em>Proceedings of the Survey Research Methods Section<\/em>: 194-199. American Statistical Association.<\/li>\n\n\n\n<li>Cochran, W.G. 1977.\u00a0<em>Sampling Techniques.\u00a0<\/em>New York: J. Wiley &amp; Sons.<\/li>\n<\/ul>\n\n\n\r\n\t<section class=\"gblock spacer -bg mb-0 py40 remove-container-padding\"  aria-labelledby=\"section-1\"><div class=\"container p-lg-0 block_count_1\" data-blockcount=\"1\"><div class=\"row pb-2\">\t<div class=\"col-12\">\r\n\t\t<div><\/div>\r\n\t<\/div>\r\n\t<\/div><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>Design frame and sample Generalized Framework for Defining the Optimal Inclusion Probabilities of One-Stage Sampling Designs for Multivariate and Multi-domain Surveys2015Survey Methodology, 41. MEMOBUST \u2013 [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":2387,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-13163","page","type-page","status-publish","hentry"],"acf":[],"wpml_current_locale":"en_US","wpml_translations":[],"_links":{"self":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/13163","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/comments?post=13163"}],"version-history":[{"count":5,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/13163\/revisions"}],"predecessor-version":[{"id":13169,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/13163\/revisions\/13169"}],"up":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/2387"}],"wp:attachment":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/media?parent=13163"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}