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  • 标题:Robustness of Modified Factor-Type Estimators under Non-Response Model
  • 本地全文:下载
  • 作者:A. Audu ; A. A. Adewara
  • 期刊名称:Annals. Computer Science Series
  • 印刷版ISSN:1583-7165
  • 电子版ISSN:2065-7471
  • 出版年度:2017
  • 卷号:15
  • 期号:1
  • 页码:31-40
  • 出版社:Mirton Publishing House, Timisoara
  • 摘要:

    In this paper, robustness of suggested modified factor-type estimators have been study under non-response model in relation to other existing related estimators of population mean. Mean square error (MSE) of suggested estimators under non-response model has been obtained and empirical study was done using Data 1, 2, 3 and 4. The robustness of the considered estimators were obtained by averaging their expected MSE and ranked accordingly to their level of efficiency. The results revealed that the efficiency of all the estimators considered increases as the proportion of non-respondent who responded after been re-interviewed increases and the suggested estimators compete favourably with almost the estimators considered in the study.

  • 关键词:Estimator; Robustness; Mean square error (MSE); Efficiency.
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