{"title":"Auxiliary variable selection in a statistical matching problem","authors":"M. D'Orazio, M. D. Zio, M. Scanu","doi":"10.1201/9781315120416-5","DOIUrl":"https://doi.org/10.1201/9781315120416-5","url":null,"abstract":"","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122051679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Log-linear models of erroneous list data","authors":"Li‐Chun Zhang","doi":"10.1201/9781315120416-9","DOIUrl":"https://doi.org/10.1201/9781315120416-9","url":null,"abstract":"","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132897336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Heijden, Paul A. Smith, J. Whittaker, Maarten Cruyff, B. Bakker
{"title":"Dual- and multiple-system estimation with fully and partially observed covariates","authors":"P. Heijden, Paul A. Smith, J. Whittaker, Maarten Cruyff, B. Bakker","doi":"10.1201/9781315120416-7","DOIUrl":"https://doi.org/10.1201/9781315120416-7","url":null,"abstract":"","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123321888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Capture-recapture methods in the presence of linkage errors","authors":"L. Consiglio, T. Tuoto, Li‐Chun Zhang","doi":"10.1201/9781315120416-3","DOIUrl":"https://doi.org/10.1201/9781315120416-3","url":null,"abstract":"","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125920432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-18DOI: 10.1201/9781315120416-10
D. Filipponi, F. Piersimoni, R. Benedetti, M. M. Dickson, G. Espa, D. Giuliani
{"title":"Sampling design and analysis using geo-referenced data","authors":"D. Filipponi, F. Piersimoni, R. Benedetti, M. M. Dickson, G. Espa, D. Giuliani","doi":"10.1201/9781315120416-10","DOIUrl":"https://doi.org/10.1201/9781315120416-10","url":null,"abstract":"","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115683282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On secondary analysis of datasets that cannot be linked without errors","authors":"Li‐Chun Zhang","doi":"10.1201/9781315120416-2","DOIUrl":"https://doi.org/10.1201/9781315120416-2","url":null,"abstract":"","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127520372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating population size in multiple record systems with uncertainty of state identification","authors":"Davide Di Cecco","doi":"10.1201/9781315120416-8","DOIUrl":"https://doi.org/10.1201/9781315120416-8","url":null,"abstract":"","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114297803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Estimates based on 2x2 tables of frequencies are widely used in statistical applications. However, in many cases these tables are incomplete in the sense that the data required to compute the frequencies for a subset of the cells defining the table are unavailable. Minimal inference addresses those situations where this incompleteness leads to target parameters for these tables that are interval, rather than point, identifiable. In particular, we develop the concept of corroboration as a measure of the statistical evidence in the observed data that is not based on likelihoods. The corroboration function identifies the parameter values that are the hardest to refute, i.e., those values which, under repeated sampling, remain interval identified. This enables us to develop a general approach to inference from incomplete 2x2 tables when the additional assumptions required to support a likelihood-based approach cannot be sustained based on the data available. This minimal inference approach then provides a foundation for further analysis that aims at making sharper inference supported by plausible external beliefs.
{"title":"Minimal inference from incomplete 2 × 2-tables","authors":"Li‐Chun Zhang, R. Chambers","doi":"10.1201/9781315120416-6","DOIUrl":"https://doi.org/10.1201/9781315120416-6","url":null,"abstract":"Estimates based on 2x2 tables of frequencies are widely used in statistical applications. However, in many cases these tables are incomplete in the sense that the data required to compute the frequencies for a subset of the cells defining the table are unavailable. Minimal inference addresses those situations where this incompleteness leads to target parameters for these tables that are interval, rather than point, identifiable. In particular, we develop the concept of corroboration as a measure of the statistical evidence in the observed data that is not based on likelihoods. The corroboration function identifies the parameter values that are the hardest to refute, i.e., those values which, under repeated sampling, remain interval identified. This enables us to develop a general approach to inference from incomplete 2x2 tables when the additional assumptions required to support a likelihood-based approach cannot be sustained based on the data available. This minimal inference approach then provides a foundation for further analysis that aims at making sharper inference supported by plausible external beliefs.","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126336239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An overview on uncertainty and estimation in statistical matching","authors":"Daniela Marella, M. Scanu","doi":"10.1201/9781315120416-4","DOIUrl":"https://doi.org/10.1201/9781315120416-4","url":null,"abstract":"","PeriodicalId":255252,"journal":{"name":"Analysis of Integrated Data","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126585844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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