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A Modified Class of Ratio Type Exponential Estimators of Population Mean using Auxiliary Attribute in Stratified Random Sampling
Abstract
This paper focuses on the efficient use of information on population parameters associated with the auxiliary attribute while estimating the population mean Y of the study variable Y. A class of Ratio-Type Exponential estimators of population mean Y using auxiliary attribute has been proposed. Expressions of bias and mean squared error of the suggested class of estimators have been obtained. Optimum condition is obtained at which the proposed class of estimators has minimum mean squared error. A generalised class of estimators is also suggested along with properties. Theoretical findings are also supported through the aid of a numerical illustration.
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References
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ISSN(P) 2350-0174

ISSN(O) 2456-2378

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