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An improvement over regression method of estimation

Author

Listed:
  • HOUSILA P. SINGH SINGH

    (School of Studied in Statistics - Vikram University - India)

  • ANJANA RATHOUR

    (School of Studied in Statistics - Vikram University - India)

  • RAMKRISHNA S. SOLANKI

    (School of Studied in Statistics - Vikram University - India)

Abstract

This paper suggested a class of estimators for the population mean of the study variable using information on an auxiliary variable with its properties under large sample approximation. The asymptotic optimum estimator in the proposed class has been identified with its properties. In addition, some existing estimators have been founded members of proposed class. It has been identified theoretically that the proposed class of estimators is better than the some traditional methods of estimation. An empirical study is carried out to judge the merits of proposed class over other competitors by using two natural population data sets.

Suggested Citation

  • Housila P. Singh Singh & Anjana Rathour & Ramkrishna S. Solanki, 2012. "An improvement over regression method of estimation," Statistica, Department of Statistics, University of Bologna, vol. 72(4), pages 415-429.
    • Handle: RePEc:bot:rivsta:v:72:y:2012:i:4:p:415-429
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