Generalized regression estimators are considered for the survey population total of a quantitative sensitive variable based on randomized responses. Formulae are presented for ‘non-negative’ estimators of approximate mean square errors of these biased estimators when population and sample sizes are large.
机构:
Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R ChinaHarbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
Sun, Zeyang
Li, Yingsong
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Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R ChinaHarbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
Li, Yingsong
Li, Yibing
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Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R ChinaHarbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
Li, Yibing
Jiang, Tao
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Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R ChinaHarbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
Jiang, Tao
Sun, Wei
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机构:
ZTE Res & Dev Ctr Xian, Mobile Interconnect HW Dept, Xian 518057, Peoples R ChinaHarbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
机构:
Department of Quantitative Methods and Economic Theory, G. d'Annunzio University, 65127 Pescara, Viale PindaroDepartment of Quantitative Methods and Economic Theory, G. d'Annunzio University, 65127 Pescara, Viale Pindaro
Sclocco T.
Di Marzio M.
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Department of Quantitative Methods and Economic Theory, G. d'Annunzio University, 65127 Pescara, Viale PindaroDepartment of Quantitative Methods and Economic Theory, G. d'Annunzio University, 65127 Pescara, Viale Pindaro