是时候建设了:时间到事件数据的小面积估算方法

Q3 Decision Sciences
Nelson J.Y. Chua, Benjamin Y.B. Long
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引用次数: 0

摘要

统计机构对提高其官方统计数据的及时性、精细度和成本效益的要求一直存在。我们利用时间到事件数据进行小范围估算的方法可以满足这些要求,因为它利用现有数据源,在更细的地理层次上进行及时估算。我们将这一方法应用于澳大利亚建筑活动调查,并对其进行了成功的重新利用,以获得新竣工住宅的小区域估算值及相关的不确定性估算值。该方法具有广泛的适用性,我们还讨论了可引入该方法的更多主题领域,以提高官方统计数据对用户的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
It’s time to build: A small area estimation methodology for time-to-event data
There is an ever-present demand for statistical agencies to improve the timeliness, granularity and cost-efficiency of their official statistics. Our methodology for small area estimation using time-to-event data addresses these demands, as it utilises existing data sources to produce timely estimates at finer levels of geography. We illustrate this methodology with our application to the Australian Building Activity Survey, which has been successfully repurposed to obtain small area estimates of newly completed dwellings with associated uncertainty estimates. The methodology is widely applicable, and we discuss further subject areas where it can be introduced to improve value for users of official statistics.
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来源期刊
Statistical Journal of the IAOS
Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
0.00%
发文量
116
期刊介绍: This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
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