J. G. Booth, R. W. Butler and P. Hall, “Bootstrap Methods for Finite Populations,” Journal of the American Statistical Association, Vol. 89, No. 248, 1994, pp. 1282-1289. doi:10.1080/01621459.1994.10476868

has been cited by the following article:

• TITLE: Sampling Error Estimation in Stratified Surveys

  AUTHORS: Ricardo Cao, José A. Vilar, Juan M. Vilar, Ana K. López

  KEYWORDS: Variance Estimation; Jackknife; Bootstrap; Stratified Sampling

  JOURNAL NAME: Open Journal of Statistics, Vol.3 No.3, June 18, 2013

  ABSTRACT: Many operations carried out by official statistical institutes use large-scale surveys obtained by stratified random sampling without replacement. Variables commonly examined in this type of surveys are binary, categorical and continuous, and hence, the estimates of interest involve estimates of proportions, totals and means. The problem of approximating the sampling relative error of this kind of estimates is studied in this paper. Some new jackknife methods are proposed and compared with plug-in and bootstrap methods. An extensive simulation study is carried out to compare the behavior of all the methods considered in this paper.