文章基本信息

标题：On Time Series Analysis for Repeated Surveys
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作者：Mohamed A. Ismail ; Hend A. Auda ; Yehia Ahmed Elzafrany 等
期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2018
卷号：17
期号：4
页码：587-596
DOI：10.2991/jsta.2018.17.4.1
语种：English
出版社：Atlantis Press
摘要：Governments and other agencies repeated many important surveys at regular time intervals, but the population mean is estimated mainly using the latest survey. Time series estimators for the population mean using repeated surveys are superior to those obtained from the last survey. This superiority may be affected by several factors such as the sampling variance, the number of surveys, and the Auto Regressive Moving Average ARMA model coefficients and orders among others. The main objective of the paper is to compare the time series estimator for repeated surveys developed by Scott et al. (A.J. Scott, T.M.F. Smith, R.G. Jones, Int. Stat. Rev. 45 (1977), 13–28.) and the last survey estimator using extensive simulation studies. Furthermore, the impact of the factors that may affect the efficiency of the time series estimator is also investigated.
关键词：Cross section surveys;ARMA models;State space;Unemployment rate