首页> 外文期刊>AStA Advances in Statistical Analysis >Structurally missing data problems in multiple list capture–recapture data
【24h】

Structurally missing data problems in multiple list capture–recapture data

机译:多列表捕获中的结构性缺失数据问题-捕获数据

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Multiple-list capture–recapture data can be used to estimate the size of a population. In this manuscript two problems are studied and solved using a common solution. The first problem is that the lists refer to different but overlapping populations. An example is that lists refer to different but overlapping regions, different but overlapping periods in time, or different but overlapping age groups. The second problem is that each list has a set of covariates and the sets of covariates are not identical. By considering both problems as missing data problems, a solution is obtained through the EM algorithm. This approach is illustrated by two examples.
机译:多列表捕获-捕获数据可用于估计人口规模。在本手稿中,使用共同的解决方案研究和解决了两个问题。第一个问题是列表涉及不同但重叠的人群。一个例子是列表指向不同但重叠的区域,不同但重叠的时间段或不同但重叠的年龄组。第二个问题是,每个列表都有一组协变量,而这组协变量并不相同。通过将两个问题都视为丢失数据问题,可以通过EM算法获得解决方案。通过两个示例来说明此方法。

著录项

  • 来源
    《AStA Advances in Statistical Analysis》 |2009年第1期|5-21|共17页
  • 作者单位

    Department of Methodology and Statistics, Utrecht University, P.O. Box 80.140, 3508 TC Utrecht, The Netherlands;

    Infectious Disease Epidemiology Unit, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, 7925, South Africa;

    Department of Methodology and Statistics, Utrecht University, P.O. Box 80.140, 3508 TC Utrecht, The Netherlands;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Capture–recapture; Covariate; Missing data;

    机译:捕获-重新捕获;协变量;缺失数据;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号