• Title of article

    Generalized Exponential Estimators of Finite Population Mean Using Transformed Auxiliary Variables

  • Author/Authors

    yasmeen, uzma national college of business administration and economics, Pakistan , noor ul amin, muhammad comsats institute of information technology, Pakistan , hanif, muhammad national college of business administration and economics, Pakistan

  • From page
    589
  • To page
    598
  • Abstract
    The new generalized exponential ratio cum dual to ratio type estimators are suggested using the transformation of Srivenkataramana (Biometrika 67:199–204, 1980) to the auxiliary variables for estimating the finite populationmean. The expressions formean square errors and biases of the proposed estimators have been derived up to first order of approximation.The conditions have been obtained for which the proposed estimators are more efficient than existing estimators. Empirical study is presented to evaluate the performance of proposed estimators.
  • Keywords
    Exponential type estimators , Population mean , Transformed auxiliary variables , Mean square error , Bias
  • Journal title
    International Journal Of Applied an‎d Computational Mathematics
  • Journal title
    International Journal Of Applied an‎d Computational Mathematics
  • Record number

    2603334