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Empirical study in finite correlation coefficient in two phase estimation

Khoshnevisan, M ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. DOI: 10.1108/03068290410555381
  3. Publisher: 2004
  4. Abstract:
  5. This paper proposes a class of estimators for population correlation coefficient when information about the population mean and population variance of one of the variables is not available but information about these parameters of another variable (auxiliary) is available, in two phase sampling and analyzes its properties. Optimum estimator in the class is identified with its variance formula. The estimators of the class involve unknown constants whose optimum values depend on unknown population parameters. In earlier research it has been shown that when these population parameters are replaced by their consistent estimates the resulting class of estimators has the same asymptotic variance as that of optimum estimator. An empirical study is carried out to demonstrate the performance of the constructed estimators. © 2004, Emerald Group Publishing Limited
  6. Keywords:
  7. Correlation analysis ; Estimation ; Variance
  8. Source: International Journal of Social Economics ; Volume 31, Issue 10 , 2004 , Pages 890-902 ; 03068293 (ISSN)
  9. URL: https://www.emerald.com/insight/content/doi/10.1108/03068290410555381/full/html