Search
Now showing items 1-7 of 7
ROBUST ESTIMATION OF VARIANCE IN THE PRESENCE OF NEAREST NEIGHBOUR IMPUTATION
(African Journal of Science and Technology, 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 ...
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 ...
Nonparametric model assisted model calibrated estimation in two stage survey sampling
(JKUAT Press Ltd, 2007)
Non-response weighting adjustment approach in survey sampling
(JKUAT Press Ltd, 2006)
Non-response problem is an issue of great concern to all the researchers because it pervades almost all survey research. This ultimately creates potential for bias. The higher the non-response rate the greater the bias if ...
Seasonal time series forecasting: A comparative study of ARIMA and ANN models
(African Journal of Science and Technology (AJST), 2004)
This paper addresses the concerns of Faraway and Chatfield (1998) who questioned the forecasting ability of Artificial Neural Networks (ANN). In particular the paper compares the performance of Artificial Neural Networks ...
Seasonal time series data imputation: comparison between feed forward neural networks and parametric approaches
(JKUAT Press Ltd, 2005)
Missing data in a time series may be an obstacle that may prevents further analysis of the available series either for control, explanations or forecasting. This paper addresses the problem of "‘filling in"' missing data ...