Abstract
An extension to estimating multinomial proportions of potentially sensitive attributes in survey sampling is proposed using higher order moments of scrambling variables at the estimation stage to produce unbiased estimators. The variance and covariance expressions are derived and the relative efficiency of the proposed estimators based on scrambling variables is investigated.
DOI
10.22237/jmasm/1335845280
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
