Ratio Imputation Method for Dealing with Missing Data in Eichhorn Model
LI Shan-shan
SI Qin
Abstract：Missing data is often a problem under the randomized response technique .And the esti‐mator use of auxiliary variable was presented ,by Srivastava SK [Calc .Stat .Assoc Bull .16(1967)] ,using the idea in direct survey ,this paper proposes ratio imputation method concerning the Eichhorn and Hay‐re’s quantitative sensitive characteristic randomized response procedure in the presence of missing data . Theoretically ,the mean square error (MSE) of all proposed estimators are obtained .And it is shown that the proposed estimators are always more efficient than the traditional estimators .The merits of the suggested estimators have been examined through a numerical illustration .
Keywords：item-nonresponseratio imputationrandomized responseauxiliary variable
Publication Date：2015-01-01
Online Publishing Date：2026-08-28(First online date of this platform, not the publication date of the document)
Pages：6( 24-28,33 )