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Robust estimation of the error variance of the ratio estimator
(Egerton Journal of Humanities, Social Sciences and Education, 1999)
Outlier Robustness of the Estimators of Variance of the Ratio Estimator
(Jomo Kenyatta University of Agriculture and Technology (JKUAT), 2002)
Robust estimation of variance in the presence of nearest neighbour imputation
(African Network of Scientific and Technical Institutions (ANSTI), 2003)
The problem of estimating the variance of an estimator of the population total when missing values have been filled using a Nearest Neighbour (NN) imputation method is considered. The estimator is developed assuming a more ...
Prediction of the likelihood of Households Food Security in the Lake Victoria Region of Kenya
(Pakistan Journal of Statistics and Operation Research, 2011)
This paper considers the modeling and prediction of households food security status using a sample of households in the Lake Victoria region of Kenya. A priori expected food security factors and their measurements are ...
Effects of outliers on Estimation of Finite Population Totals
(International Journals of Multidisciplinary Research Academy, 2013)
In this paper, attempt to study effects of outliers on two estimators of finite population total theoretically and by simulation is made. We compare the ratio estimate with the local linear polynomial estimate of finite ...
Inference on poverty indicators for Ghana
(2018-09-14)
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 ...
A SEMI-PARAMETRIC MULTIPLICATIVE BIAS REDUCTION DENSITY WITH A PARAMETRIC START
(Pushpa Publishing House, 2018)
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 ...
Variance Estimation for Poverty Indicators via Linearization Technique
(2018-08-24)
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 ...
Robust Variance Estimation by Linearization Techniques for Poverty Indicators
(Southern Africa Mathematical Sciences Association, 2018)
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. ...