Quantile regression-ratio-type estimators for mean estimation under complete and partial auxiliary information
Traditional ordinary least square (OLS) regression is commonly utilized to develop
regressionratio-type estimators with traditional measures of location. Abid et al.(2016b) …
regressionratio-type estimators with traditional measures of location. Abid et al.(2016b) …
On mixed memory control charts based on auxiliary information for efficient process monitoring
Control charts are popular monitoring tools in statistical process control toolkit. These are
used to identify assignable causes in the process parameters (location and/or dispersion) …
used to identify assignable causes in the process parameters (location and/or dispersion) …
Three-fold utilization of supplementary information for mean estimation under median ranked set sampling scheme
Ranked set sampling (RSS) has created a broad interest among researchers and it is still a
unique research topic. It has at long last begun to find its way into practical applications …
unique research topic. It has at long last begun to find its way into practical applications …
[PDF][PDF] L-Moments Based Calibrated Variance Estimators Using Double Stratified Sampling.
Variance is one of the most vital measures of dispersion widely employed in practical
aspects. A commonly used approach for variance estimation is the traditional method of …
aspects. A commonly used approach for variance estimation is the traditional method of …
[PDF][PDF] Mean estimation using robust quantile regression with two auxiliary variables
In the presence of outliers in the data set, the utilization of robust regression tools for mean
estimationis a widely established practice in survey sampling with single auxiliary variable …
estimationis a widely established practice in survey sampling with single auxiliary variable …
An exponential family of median based estimators for mean estimation with simple random sampling scheme
Recently, Irfan et al. developed ratio-type estimators for population mean estimation with
simple random sampling (SRS) scheme, based on known median of a study variable and an …
simple random sampling (SRS) scheme, based on known median of a study variable and an …
Improved ratio estimators of variance based on robust measures
In this study, we develop some new estimators for estimating the population variance by
utilizing the information on midrange and inter decile range of an auxiliary variable. A …
utilizing the information on midrange and inter decile range of an auxiliary variable. A …
Robust estimation of the population mean using quantile regression under systematic sampling
Regression ratio mean estimators of a study variable Y are defined as the coefficients
provided by the ordinary least-squares regression of Y on a given auxiliary variable X. They …
provided by the ordinary least-squares regression of Y on a given auxiliary variable X. They …
Enhancing efficiency of ratio-type estimators of population variance by a combination of information on robust location measures
Numerous ratio-type estimators of the population variance are proposed in the existing
literature based on different characteristics of the study as well as the auxiliary variable …
literature based on different characteristics of the study as well as the auxiliary variable …
New family of estimators for population mean using regression-cum-ratio exponential estimators
Sampling is inevitable whenever the population is vast, and one estimates the population
mean rather than to calculate it. This article improves the estimation for the population mean …
mean rather than to calculate it. This article improves the estimation for the population mean …