A family of ratio estimators for population mean in extreme ranked set sampling using two auxiliary variables

• Autores: Abdul Haq, Javid Shabbir
• Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 34, Nº. 1, 2010, págs. 45-64
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked set sampling (ERSS) using information on single and two auxiliary variables. Expressions for mean square error (MSE) of proposed estimators are derived to ?rst order of approximation. Monte Carlo simulations and real data sets have been used to illustrate the method. The results indicate that the estimators under ERSS are more ef?cient as compared to estimators based on simple random sampling (SRS), when the underlying populations are symmetric.

• Referencias bibliográficas
  • Khoshnevisan, M., Singh, R., Chauhan, P., Sawan, N. & Smarandache, F. (2007). A general family of estimators for estimating population...
  • McIntyre, G. A. (1952). A method of unbiased selective sampling using ranked sets. Australian Journal Agriculture Research, 3, 385-390.
  • Murthy, M. N. (1967). Sampling Theory and Methods. Statistical Publishing Society, Calcutta, India.
  • Samawi, H. M. (2002). On ratio estimation using extreme ranked set samples. Abhath Al-Yarmouk, Basic Sciences and Engineering, 11, 815-827.
  • Samawi, H. M., Ahmed, M. S. & Abu-Dayyeh, W. (1996). Estimating the population mean using extreme ranked set sample. Biometrical Journal,...
  • Samawi, H. M., Al-Samarraie, A. Y. A. & Al-Saidy, O. M. (2004). On regression estimators using extreme ranked set samples. Journal of...
  • Samawi, H. M. & Muttlak, H. A. (1996). Estimation of ratio using rank set sampling. Biometrical Journal, 38, 753-764.
  • Samawi, H. M. & Saeid, L. J. (2004). Stratified extreme ranked set sample with application to ratio estimators. Journal of Modern Applied...
  • Takahasi, K. & Wakimoto, K. (1968). On unbiased estimates of the population mean based on the sample stratified by means of ordering....