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摘要翻译：
数学模型可能有助于协助印度政府向其公民发放生物识别卡的新举措。在本说明中，我们研究了数学模型在估计缺失的、未列举的人口数量、估计印度按年龄、性别和地区所需的年卡数量方面的作用。还强调了国家人口登记册与生物识别卡之间的联系。见技术附录。还有其他的科学问题，即电子、数据存储管理、身份验证等，我们在本文中没有讨论。
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英文标题：
《Biometric Cards for Indian Population: Role of Mathematical Models in
Assisting and Planning》
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作者：
Arni S.R. Srinivasa Rao
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最新提交年份：
2011
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分类信息：
一级分类：Statistics 统计学
二级分类：Applications 应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Quantitative Biology 数量生物学
二级分类：Quantitative Methods 定量方法
分类描述：All experimental, numerical, statistical and mathematical contributions of value to biology
对生物学价值的所有实验、数值、统计和数学贡献
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英文摘要：
Mathematical models could be helpful in assisting the Indian Government's new initiative of issuing biometric cards to its citizens. In this note, we look into the role of mathematical models in estimating the missing, non-enumerated population numbers, estimating annual numbers of cards required by age, gender and regions in India. The linkage between National Population Register and biometric cards is also highlighted. See technical Appendices. There are other scientific issues, namely, electronic, data storage management, identity verification etc, which we do not address in this paper.
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PDF链接：
https://arxiv.org/pdf/1104.1775
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