A Hybrid Ratio–Type Estimator Under Systematic
Sampling
Dr. S. S. Mishra¹, Dr. S. S.
Parida²
Abstract
In this study, we employ both square root and
exponential transformations to construct a ratio-type
estimator for determining the population mean of the
variable under systematic sampling. The bias
and mean square error (MSE) are derived up to the first-order approximation, and a theoretical comparison is carried out using a numerical illustration.
Keywords: Systematic Sampling, Chain Ratio- Type, Bias, Mean Square Error (M.S.E), Efficiency.
and mean square error (MSE) are derived up to the first-order approximation, and a theoretical comparison is carried out using a numerical illustration.
Keywords: Systematic Sampling, Chain Ratio- Type, Bias, Mean Square Error (M.S.E), Efficiency.
