{"title":"人口普查内容误差估计","authors":"Guihua Hu, Jinpen Liao, Jianfan Peng, Ting Wu, Shushan Fan, Baohong Ye","doi":"10.1080/08898480.2020.1738802","DOIUrl":null,"url":null,"abstract":"ABSTRACT The ratio content error estimators recommended by the United Nations Statistics Division for censuses do not cover content errors resulting from erroneous enumerations and omissions; thus they underestimate content errors. The “complete content error estimator” covers all content errors and is unbiased. It applies to any category of population.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2020.1738802","citationCount":"1","resultStr":"{\"title\":\"Estimation of census content error\",\"authors\":\"Guihua Hu, Jinpen Liao, Jianfan Peng, Ting Wu, Shushan Fan, Baohong Ye\",\"doi\":\"10.1080/08898480.2020.1738802\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT The ratio content error estimators recommended by the United Nations Statistics Division for censuses do not cover content errors resulting from erroneous enumerations and omissions; thus they underestimate content errors. The “complete content error estimator” covers all content errors and is unbiased. It applies to any category of population.\",\"PeriodicalId\":49859,\"journal\":{\"name\":\"Mathematical Population Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2020-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/08898480.2020.1738802\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Population Studies\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/08898480.2020.1738802\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Population Studies","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/08898480.2020.1738802","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
ABSTRACT The ratio content error estimators recommended by the United Nations Statistics Division for censuses do not cover content errors resulting from erroneous enumerations and omissions; thus they underestimate content errors. The “complete content error estimator” covers all content errors and is unbiased. It applies to any category of population.
期刊介绍：
Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions.
The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.
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