Scent stations usually are deployed in clusters to expedite data collection and increase the number of stations that can be operated for a given cost. Presumed benefits of cluster sampling may not be realized, however, unless cluster sizes are chosen with respect to sampling variation within and among clusters. To encourage and facilitate the use of efficient designs and reporting standards, we...

A weighted cluster sample survey design is frequently used in large demographic sample surveys. In the National Health Interview Survey conducted by the National Center for Health Statistics, households are often selected in clusters of four. In this survey, sociodemographic and health characteristics of all members of sample households are recorded. Such characteristics for each person intervi...

In empirical work in economics it is common to report standard errors that account for clustering of units. Typically, the motivation given for the clustering adjustments is that unobserved components in outcomes for units within clusters are correlated. However, because correlation may occur across more than one dimension, this motivation makes it difficult to justify why researchers use clust...

Virtual move Monte Carlo is a cluster algorithm which was originally developed for strongly attractive colloidal, molecular, or atomistic systems in order to both approximate the collective dynamics and avoid sampling of unphysical kinetic traps. In this paper, we present the algorithm in the form, which selects the moving cluster through a wider class of virtual states and which is applicable ...

Matousek [Discrete Comput. Geom. 24 (1) (2000) 61–84] designed an O(nlogn) deterministic algorithm for the approximate 2-means clustering problem for points in fixed dimensional Euclidean space which had left open the possibility of a linear time algorithm. In this paper, we present a simple randomized algorithm to determine an approximate 2-means clustering of a given set of points in fixed di...

We describe a multivariate, multilevel, pseudo maximum likelihood estimation method for multistage stratified cluster sampling designs, including finite population and unequal probability sampling. Multilevel models can be estimated with this method while incorporating the sampling design in the standard error computation. Design based adjustment of the likelihood ratio test (LRT) statistic is ...

BACKGROUND There is paucity of information on epidemiological situation of Tuberculosis (TB) in Andhra Pradesh. The DOTS strategy under the Revised National Tuberculosis Control Programme (RNTCP) was introduced in the year 2000 to cover the entire State by 2005. OBJECTIVES To estimate the prevalence of tuberculous infection among children 5-9 years of age and to compute the average Annual Ris...

OBJECTIVE To identify the prevalence of hypertension and evaluate the independent effect of central obesity on this outcome in adults living in the municipality of Ribeirão Preto, São Paulo State, Brazil. METHODS Cross-sectional population-based epidemiological study using three stage cluster sampling. The variability introduced in the third stage was corrected by attributing probability weig...