In the present study, we propose the proficient class of estimators of the finite population
mean, while incorporating the nonconventional location and nonconventional measures of …

The ordinary least square (OLS) method is commonly used in regression analysis. But in the
presence of outlier in the data, its results are unreliable. Hence, the robust regression …

In estimation theory, the researchers have put their efforts to develop some estimators of
population mean which may give more precise results when adopting ordinary least squares …

In this paper, a robust redescending M-estimator is used to construct the regression-inratio
estimators to estimate population when data contain outliers. The expression of mean …

In this article, a novel technique is presented for calculating the mean of a countable
population using simple random sampling (SRS) in situations where there are outliers in the …

Traditional ratio estimator loses its efficiency when there are outliers in the data or when the
error term is not normally distributed. Specifically in health-related data, many biological …

ABSTRACT Rank Set Sampling (RSS) is an alternative to simple random sampling was
proposed by McIntyre (1952): Under such sampling scheme various authors have proposed …

Auxiliary information plays an important role in survey sampling, enhancing the precision,
accuracy, and efficiency of estimating population parameters. This study focuses on the …

In this article we have proposed some new improved ratio estimators based on robust
regression that are robust against outliers and provide reliable results even when outliers …

In this article we have proposed some new improved ratio estimators based on robust
regression that are robust against outliers and provide reliable results even when outliers …