Some composite estimators based on various combinations of two different existing estimators are obtained for domain estimation. The estimation of weights and thus obtaining optimum weights to combine two or more different existing direct and indirect estimators to form composite estimators are...

This paper develops optimal designs when it is not feasible for every cluster to be represented in a sample as in stratified design, by assuming equal probability two-stage sampling where clusters are small areas. The paper develops allocation methods for two-stage sample surveys where...

This paper develops optimal designs when it is not feasible for every cluster to be represented in a sample as in stratified design, by assuming equal probability two-stage sampling where clusters are small areas. The paper develops allocation methods for two-stage sample surveys where...

In response to high demands for lower level poverty estimates, the National Statistical Coordination Board releases provincial estimates, in addition to the national and regional, starting with the 1997 FIES. However, estimates of the coefficients of variation (CV) of several provincial...

In response to high demands for lower level poverty estimates, the National Statistical Coordination Board releases provincial estimates, in addition to the national and regional, starting with the 1997 FIES. However, estimates of the coefficients of variation (CV) of several provincial...

A class of composite estimators of small area quantities that exploit spatial (distancerelated) similarity is derived. It is based on a distribution-free model for the areas, but the estimators are aimed to have optimal design-based properties. Composition is applied also to estimate some of the...

Modern household surveys increasingly provide information on subgroups as defined by content or regions. This kind of information, in general, is gained from censuses every ten years. Within the current European census round, some countries have decided to implement new methods which do not rely...