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Forced quantitative randomized response model: a new device

机译:强制定量随机反应模型:一种新设备

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In the present investigation, a new forced quantitative randomized response (FQRR) model has been proposed. Both situations when the values of the forced quantitative response are known and unknown are studied. The forced qualitative randomized response models due to Liu and Chow (J Am Stat Assoc 71:72–73, 1976a, Biometrics 32:607–618, 1976b) and Stem and Steinhorst (J Am Stat Assoc 79:555–564, 1984) are shown as a special case of the situation when the value of the forced quantitative randomized response is simply replaced by a forced “yes” response. The proposed FQRR model remains more efficient than the recent Bar-Lev et al. (Metrika, 60:255–260, 2004), say BBB model. The relative efficiency of the proposed FQRR model with respect to the existing competitors, like the BBB model, has been investigated under different situations. No doubt the present model will lead to several new developments in the field of randomized response sampling. The proposed FQRR model will encourage researchers/scientists to think more on these lines.
机译:在本研究中,提出了一种新的强制定量随机反应(FQRR)模型。研究了强制定量响应的值已知和未知的两种情况。 Liu和Chow(J Am Stat Assoc 71:72–73,1976a,Biometrics 32:607–618,1976b)和Stem and Steinhorst(J Am Stat Assoc 79:555-564,1984)导致的强制定性随机反应模型显示的是一种特殊情况,其中强制定量随机响应的值仅由强制“是”响应代替。所提出的FQ​​RR模型仍然比最近的Bar-Lev等人更有效。 (Metrika,60:255–260,2004),例如BBB模型。相对于现有竞争对手,所提出的FQ​​RR模型相对于BBB模型的相对效率已经在不同情况下进行了研究。毫无疑问,本模型将导致随机响应采样领域的一些新发展。拟议的FQRR模型将鼓励研究人员/科学家在这些方面进行更多思考。

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