{"id":"https://openalex.org/W2183256000","doi":null,"title":"A Bayesian method for deriving population statistics from multiple imperfect data sources","display_name":"A Bayesian method for deriving population statistics from multiple imperfect data sources","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2183256000","mag":"2183256000"},"language":"en","primary_location":{"id":"mag:2183256000","doi":null,"is_oa":false,"landing_page_url":"https://www.2013.isiproceedings.org/Files/IPS027-P4-S.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039887114","display_name":"John Bryant","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Bryant","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074904572","display_name":"Patrick J Graham","orcid":"https://orcid.org/0000-0003-3221-062X","observed_orcids":["https://orcid.org/0000-0003-3221-062X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrick Graham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2782,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63439872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/population-estimates","display_name":"population estimates","score":0.953000009059906},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.48399999737739563},{"id":"https://openalex.org/keywords/multiple-imputation","display_name":"multiple imputation","score":0.765999972820282},{"id":"https://openalex.org/keywords/coverage-error","display_name":"coverage error","score":0.8059999942779541},{"id":"https://openalex.org/keywords/administrative-data","display_name":"administrative data","score":0.5879999995231628},{"id":"https://openalex.org/keywords/demographic-models","display_name":"demographic models","score":0.49900001287460327},{"id":"https://openalex.org/keywords/measurement-error","display_name":"measurement error","score":0.5260000228881836}],"concepts":[{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.7401809692382812},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6589909791946411},{"id":"https://openalex.org/C129963666","wikidata":"https://www.wikidata.org/wiki/Q17105857","display_name":"Small area estimation","level":3,"score":0.6516755223274231},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5890689492225647},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5854122638702393},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.585081934928894},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5442852973937988},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.5167261958122253},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.49301812052726746},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.48562493920326233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48418834805488586},{"id":"https://openalex.org/C10717770","wikidata":"https://www.wikidata.org/wiki/Q1965979","display_name":"Population statistics","level":4,"score":0.45900651812553406},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.35716280341148376},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3315514028072357},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.33116158843040466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2572082579135895},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.11461877822875977},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10520666837692261},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2183256000","doi":null,"is_oa":false,"landing_page_url":"https://www.2013.isiproceedings.org/Files/IPS027-P4-S.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1604465907","https://openalex.org/W2037738789","https://openalex.org/W2121880056","https://openalex.org/W2144802852","https://openalex.org/W3021869244","https://openalex.org/W4211101039"],"related_works":["https://openalex.org/W1795663738","https://openalex.org/W4408724305","https://openalex.org/W4409693769","https://openalex.org/W2037738789","https://openalex.org/W4398780092","https://openalex.org/W7047314767","https://openalex.org/W7096620748","https://openalex.org/W2566939015","https://openalex.org/W2012443963","https://openalex.org/W4295533117"],"abstract_inverted_index":{"Replacing":[0],"a":[1,46,50],"traditional":[2],"census":[3,7],"with":[4,35],"an":[5],"administrative":[6,68],"requires":[8],"finding":[9],"new":[10],"ways":[11],"of":[12,54,60],"(i)":[13],"generating":[14],"population":[15,80],"estimates,":[16],"and":[17,58],"(ii)":[18],"assembling":[19],"individual-level":[20,67],"socioeconomic":[21],"data.":[22],"We":[23],"describe":[24],"Bayesian":[25],"methods":[26],"under":[27],"development":[28],"at":[29],"Statistics":[30],"New":[31],"Zealand":[32],"for":[33],"dealing":[34],"both":[36],"problems.":[37],"Population":[38],"estimation":[39,81],"is":[40],"carried":[41],"out":[42],"by":[43],"setting":[44],"up":[45],"large":[47],"model":[48],"containing":[49],"demographic":[51,56],"account,":[52],"models":[53,59],"the":[55,61,79],"processes,":[57],"measurement":[62],"processes.":[63],"Coverage":[64],"errors":[65],"in":[66],"data":[69],"are":[70],"addressed":[71],"using":[72],"multiple":[73],"imputation,":[74],"based":[75],"on":[76],"output":[77],"from":[78],"model.":[82]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
