A GENERALIZED EXPONENTIAL RATIO- PRODUCT ESTIMATOR FOR POPULATION VARIANCE IN SIMPLE RANDOM SAMPLING
Keywords:
Exponential ratio-product estimator, Bias, MSE, optimality conditions, EfficiencyAbstract
This study focuses on proposing the generalized exponential ratio-product estimator for population variance in simple
random sampling by using the combination of some existing members with scalars. Mean square error and bias expressions
with optimality conditions has been derived and at the optimal conditions proposed generalized class is a suitable
alternative to linear regression estimator. Both analytical and numerical comparison with some existing estimators shows
better performances from the members of the proposed class.
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Published
2024-06-05
How to Cite
Subzar, M., & Ismail, Y. (2024). A GENERALIZED EXPONENTIAL RATIO- PRODUCT ESTIMATOR FOR POPULATION VARIANCE IN SIMPLE RANDOM SAMPLING. Investigación Operacional, 42(1). Retrieved from https://revistas.uh.cu/invoperacional/article/view/9102
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Copyright (c) 2024 Investigación Operacional
This work is licensed under a Creative Commons Attribution 4.0 International License.
