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Estimation of finite population mean using two auxiliary variables under stratified random sampling

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Yadav R., Tailor R.

Statistics in Transition new series

2020

vol. 21

issue 1

1-12

This paper addresses the problem of an alternative approach to estimating the population mean of the study variable with the help of the auxiliary variable under stratified random sampling. The properties of the suggested estimator have been studied under large sample approximation. It has been demonstrated that the suggested estimator is more efficient than other considered estimators. To judge the merits of the proposed estimator, an empirical study has been carried out to support the present study.

Improved Separate Ratio Exponential Estimator for Population Mean Using Auxiliary Information

86%

Yadav R., Upadhyaya L. N., Singh H. P., Chatterjee S.

Statistics in Transition new series

2011

vol. 12

issue 2

401-412

This paper advocates the improved separate ratio exponential estimator for population mean of the study variable y using the information based on auxiliary variable x in stratified random sampling. The bias and mean squared error (MSE) of the suggested estimator have been obtained upto the first degree of approximation. The theoretical and numerical comparisons are carried out to show the efficiency of the suggested estimator over sample mean estimator, usual separate ratio and separate product estimator.

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2 Statistics in Transition new series

2 Yadav R.

1 Chatterjee S.

1 Singh H. P.

1 Tailor R.

1 Upadhyaya L. N.

1 2020

1 2011

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Estimation of finite population mean using two auxiliary variables under stratified random sampling

Improved Separate Ratio Exponential Estimator for Population Mean Using Auxiliary Information