Poverty indicators are the fundamental statistics used to optimally determine the standards of living of people in any country. These are used for policy planing and analysis. Poverty indicators were estimated using ...

In this study, a multiplicative semiparametric fourth order bias reduction density is proposed. The proposed density accommodates all parametric distributions and produces optimum results even in situations where the ...

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 need for a reliable and equitable means of measuring population disparity and providing guidelines on implementation of policy decisions has necessitated the search for a precise estimating scheme for poverty indicators. ...

An improved method for finite population total estimation is proposed using a multiplicative semi-parametric bias reduction density function. The density is first applied to estimate a non-parametric regression model which ...