A new variance estimator for unequal probability sampling without replacement in the presence of non-response

  • Nuanpan Lawson Department of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok
  • Chugiat Ponkaew Department of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok
Keywords: variance estimator, response probabilities, reverse framework, joint inclusion probability

Abstract

           A new variance estimator for estimating the population total has been proposed under unequal probability sampling without replacement in the presence of nonresponse. The new variance estimator does not require the joint inclusion probability in the estimation under the reverse framework where the sampling fraction is negligible and equal response probabilities for all units. The efficiency of the new estimator is compared with the existing estimators7 via a simulation study.

Published
2019-07-30
Section
Research Articles