New calibration estimator based on two auxiliary variables in stratified sampling


Ozgul N.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, cilt.48, ss.1481-1492, 2019 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 48 Konu: 6
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1080/03610926.2018.1433852
  • Dergi Adı: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
  • Sayfa Sayıları: ss.1481-1492

Özet

In recent years, calibration estimation has become an important field of research in survey sampling. This paper proposes a new calibration estimator for the population mean in the presence of two auxiliary variables in stratified sampling. The theory of new calibration estimator is given and optimum calibration weights are derived. A simulation study is carried out to performance of the proposed calibration estimator over other existing calibration estimators. The results reveal that the proposed calibration estimators are more efficient than other existing calibration estimators in stratified sampling.