General Mathematics

    

Empirical Study in Finite Correlation Coefficient in Two Phase Estimation

Authors: M. Khoshnevisan, F. Kaymarm, H. P. Singh, R. Singh, F. Smarandache

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.

Comments: 16 Pages.

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Submission history

[v1] 2016-09-13 04:05:46

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