Bootstrap methods form a class of non‐parametric resampling techniques used to assess the variability and distributional properties of statistical estimators. By repeatedly drawing samples with ...
Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...
Efficient estimation of a finite population mean depends on both estimator formulation and the quality of the strata. This study develops three classes of mean estimators under stratified simple ...
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