In this study, an assessment of precision of poverty indicators is made with a view to improving its performance. A multiplicative bias reduction density function is used in estimating the poverty indicators and compared ...

The major interests of survival analysis are either to compare the failure time distribution function or to assess the effects of covariate on survival via appropriate hazards regression models. Cox’s proportional hazards ...

The utilization of auxiliary information during surveys increases the accuracy of estimators, thereby giving more reliable estimates of the population parameters of interest. It has been established that the presence of ...

The measurement errors exist and sample survey results are always uncertain because only a portion of the population is measured. Larger samples and superior measurement tools can help to reduce this uncertainty. The ...

The problem in nonparametric estimation of finite population total particularly when dealing with high-dimensional datasets is addressed in this paper. The coverage properties of a robust finite population total estimator ...

In the context of stratified sampling, we develop a nonparametric regression technique to estimating finite population quantiles in model-based frameworks using a multiplicative bias correction strategy. Furthermore, the ...

Abstract — Sample surveys concern themselves with drawing inferences about the population based on sample statistics. We assess the asymptotic normality behavior of a proposed nonparametric estimator for finite a population ...