Designing an efficient sampling scheme for a rare and clustered population is a challenging area of research. Adaptive cluster sampling, which has been shown to be viable for such a population, is based on sampling a neighborhood of units around a unit that meets a specified condition. However, the edge units produced by sampling neighborhoods have proven to limit the efficiency and applicabili...

nigeria represents one of the paradoxes of development in which case the nation is rich but her people are poor. this study examines the rate of poverty among rural households in south western, nigeria. a random multistage sampling was employed for the study. ekiti and osun states were randomly selected from the six states in south-western nigeria. this was followed by random selection of two l...

For importance sampling (IS), multiple proposals can be combined to address different aspects of a target distribution. There are various methods for IS with multiple proposals, including Hesterberg’s stratified IS estimator, Owen and Zhou’s regression estimator, and Tan’s maximum likelihood estimator. For the problem of efficiently allocating samples to different proposals, it is natural to us...

Many health and other surveys aim to produce statistics on small subpopulations, such as specific ethnic groups or the indigenous population of a country. In most countries, there is no reliable sampling frame of the subpopulations of interest, hence it is necessary to sample from the general population, which can be very expensive. A range of issues and strategies for sampling rare subpopulati...