<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sartore, L.</style></author><author><style face="normal" font="default" size="100%">Benecha, H.</style></author><author><style face="normal" font="default" size="100%">Toppin, K.</style></author><author><style face="normal" font="default" size="100%">Spiegelman, C.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Restricted Multinomial Regression for a Triple-System Estimation with List Dependence</style></title><secondary-title><style face="normal" font="default" size="100%">JSM 2017</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agriculture</style></keyword><keyword><style  face="normal" font="default" size="100%">BigData</style></keyword><keyword><style  face="normal" font="default" size="100%">Capture</style></keyword><keyword><style  face="normal" font="default" size="100%">DataScience</style></keyword><keyword><style  face="normal" font="default" size="100%">Dependence</style></keyword><keyword><style  face="normal" font="default" size="100%">Estimation</style></keyword><keyword><style  face="normal" font="default" size="100%">NASS</style></keyword><keyword><style  face="normal" font="default" size="100%">Probability</style></keyword><keyword><style  face="normal" font="default" size="100%">Triple-System</style></keyword><keyword><style  face="normal" font="default" size="100%">Weights</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">Submitted</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.niss.org/sites/default/files/Sartore_RestMultiReg_TSE_20170901.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The National Agricultural Statistics Service (NASS) conducts the U.S. Census of Agriculture every&amp;nbsp;five years. In 2012, NASS began using a capture-recapture approach to adjust the Census estimates&amp;nbsp;for under-coverage, non-response, and misclassification. This requires two independent samples.&amp;nbsp;NASS has kept its Census Mailing List (CML) independent from its area frame, which is used for the&amp;nbsp;June Area Survey (JAS) every June. NASS is exploring the use of web-scraping to develop a third&amp;nbsp;list-frame (TL) that would be independent of the CML and the area frame. In this paper, a Triple-System Estimation (TSE) methodology based on regularized multinomial regression is proposed to&amp;nbsp;investigate for possible dependence between the CML and the TF. A simulation study is performed&amp;nbsp;to compare the performance of the estimator based on the proposed methodology, which can take&amp;nbsp;into account the frame dependence with others already presented in the literature.&lt;/p&gt;
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