Ratio Estimators for Population Mean Using Robust Regression in Double Sampling

Noor Ul Amin M., Qaiser Shahbaz M., KADILAR C.

GAZI UNIVERSITY JOURNAL OF SCIENCE, vol.29, no.4, pp.793-798, 2016 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 29 Issue: 4
  • Publication Date: 2016
  • Journal Name: GAZI UNIVERSITY JOURNAL OF SCIENCE
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.793-798
  • Hacettepe University Affiliated: Yes

Abstract

In this article, ratio estimators for the population mean are suggested using the robust regression under the double sampling scheme. The mean squared error (MSE) expressions are obtained for the first degree of approximation. Theoretical comparisons show that the proposed estimators having the robust regression estimates are more efficient than the estimators using the least square method under the certain conditions. Theoretical findings are supported with the aid of a real life dataset in application and a simulation study is also conducted to evaluate the performance of the proposed estimators.