Results are presented from a simulation study of alternative weighting class adjustments for nonresponse when estimating a population mean from complex sample survey data, in an effort to extend the previous work of Little and Vartivarian (2003, 2005) to a complex sample survey setting involving stratified cluster sampling from a finite target population. A total of 30 simulations were performe...

Abstract Survey data are often collected under multistage sampling designs where units binned to clusters that sampled in a first stage. The unit-indexed population variables of interest typically dependent within cluster. We propose Fully Bayesian method constructs an exact likelihood for the observed sample incorporate unit-level marginal weights performing unbiased inference parameters while...

BackgroundA national eye survey was conducted in 1996 to determine the prevalence rates of blindness and low vision and their major causes among the Malaysian population of all ages. Methods-A stratified two-stage cluster sampling design was used to randomly select primary and secondary sampling units. Interviews, visual acuity tests and eye examinations on all individuals in the sampled househ...

BACKGROUND A national eye survey was conducted in 1996 to determine the prevalence of blindness and low vision and their major causes among the Malaysian population of all ages. METHODS A stratified two stage cluster sampling design was used to randomly select primary and secondary sampling units. Interviews, visual acuity tests, and eye examinations on all individuals in the sampled househol...

We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the disparity map has been computed, and suppose that the only information available is the stereoscopic pair. The method, which consists of sampling from the posterior distribution given the stereoscopic pair, allows the ...

BACKGROUND The National Children's Study (NCS) was established as a national probability sample of births to prospectively study children's health starting from in utero to age 21. The primary sampling unit was 105 study locations (typically a county). The secondary sampling unit was the geographic unit (segment), but this was subsequently perceived to be an inefficient strategy. METHODS AND ...

We present a multi-phase variant of adaptive cluster sampling which allows the sampler to control the number of measurements of the variable of interest. A first-phase sample is selected using an adaptive cluster sampling design based on an inexpensive auxiliary variable associated with the survey variable. Then the network structure of the adaptive cluster sample is used to select an ordinary ...

Markov chain Monte Carlo (MCMC) methods have been used in many fields (physics, chemistry, biology, and computer science) for simulation, inference, and optimization. The essence of these methods is to simulate a Markov chain whose state X follows a target probability X ∼ π(X). In many applications, π(X) is defined on a graph G whose vertices represent elements in the system and whose edges rep...