In this paper, an attempt has been made to minimize the negative impact of random non-response in the estimation of population mean on current occasion in two-occasion successive sampling. A general class of estimators has been proposed, and their properties are studied under the assumptions that the number of sampling unit on which information may not be obtained follows a discrete probability distribution due to random non-response behavior. Properties of the proposed class of estimators are also derived for as individual cases when random non-response occurs either on the first or the second occasion. Empirical study has been carried out to show the efficacious performances of the proposed class of estimators over an estimator defined for the complete response situations. Suitable recommendations have been made to the applied survey practitioners for their real-life practical applications.

在本文中，我们尝试在两次连续采样中，将随机无响应的负面影响最小化，以估计当前情况下的总体均值。已经提出了一般的估计量，并且在由于随机无响应行为而不能在其上获得信息的采样单元的数目遵循离散概率分布的假设下研究了它们的性质。当在第一次或第二次情况下发生随机无响应时，还针对个别情况推导了所提议的估计量类别的属性。进行了实证研究，显示了针对完整响应情况定义的估计量，所提出的估计量类别的有效性能。