• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International statistical review >Multi-source Statistics: Basic Situations and Methods
【24h】

Multi-source Statistics: Basic Situations and Methods

机译：多源统计：基本情况和方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Many National Statistical Institutes (NSIs), especially in Europe, are moving from single-source statistics to multi-source statistics. By combining data sources, NSIs can produce more detailed and more timely statistics and respond more quickly to events in society. By combining survey data with already available administrative data and Big Data, NSIs can save data collection and processing costs and reduce the burden on respondents. However, multi-source statistics come with new problems that need to be overcome before the resulting output quality is sufficiently high and before those statistics can be produced efficiently. What complicates the production of multi-source statistics is that they come in many different varieties as data sets can be combined in many different ways. Given the rapidly increasing importance of producing multi-source statistics in Official Statistics, there has been considerable research activity in this area over the last few years, and some frameworks have been developed for multi-source statistics. Useful as these frameworks are, they generally do not give guidelines to which method could be applied in a certain situation arising in practice. In this paper, we aim to fill that gap, structure the world of multi-source statistics and its problems and provide some guidance to suitable methods for these problems.
机译：许多国家统计局（NSI），尤其是在欧洲，正从单一来源的统计信息转变为多重来源的统计信息。通过合并数据源，NSI可以生成更详细，更及时的统计信息，并更快地响应社会事件。通过将调查数据与已经可用的管理数据和大数据相结合，NSI可以节省数据收集和处理成本，并减轻受访者的负担。但是，多源统计信息会带来新的问题，需要在产生的输出质量足够高之前以及有效地生成这些统计信息之前解决这些问题。使多源统计信息的产生复杂化的是，由于数据集可以多种不同方式组合，因此它们具有多种不同的品种。鉴于在官方统计中产生多源统计的重要性迅速提高，因此在过去几年中，该领域已开展了大量研究活动，并且已经开发了一些用于多源统计的框架。由于这些框架很有用，因此通常不会为在实践中出现的特定情况下可以采用哪种方法提供指导。本文旨在填补这一空白，构建多源统计及其问题的世界，并为解决这些问题的适当方法提供一些指导。

著录项

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