A two parameter variance estimator using auxiliary information

YADAV S. K., KADILAR C.

APPLIED MATHEMATICS AND COMPUTATION, cilt.226, ss.117-122, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 226
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1016/j.amc.2013.10.044
  • Dergi Adı: APPLIED MATHEMATICS AND COMPUTATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.117-122
  • Hacettepe Üniversitesi Adresli: Evet

Özet

We propose a two parameter ratio-product-ratio estimator for estimating a finite population variance based on simple random sampling without replacement. The bias and mean square error of the proposed estimator are obtained to the first degree of approximation. We have derived the conditions for the parameters under which the proposed estimator has smaller mean square error than the sample variance, ratio and product estimators. We carry out an application showing that the proposed estimator outperforms the traditional estimators using different data sets. (C) 2013 Elsevier Inc. All rights reserved.