We conducted a cross-sectional, analytical study among a random
cluster sample of 190 PCPs working in Muscat, Oman,' said the authors of the study.
The type of sample employed by the nine states using a sample to collect coverage data varied and included a stratified two-stage
cluster sample (eight states) and a stratified one-stage
cluster sample (one state).
cluster sample, and class sample; methods of selection; and problems
Update membership matrix [U.sup.(b)], and the matrix indicates the membership values of each
cluster sample data belonging to the corresponding cluster prototype:
A two-stage
cluster sample design was used to collect data to represent all students in grades 6-10 in each country.15 At the first stage of sampling, schools were selected with probability proportional to their reported enrolment size.15 In the second stage, classes in the selected schools were randomly selected and all students in selected classes were eligible to participate irrespective of their actual ages.15 Students self-completed the questionnaire under the supervision of trained research assistants.15
Algorithm thought is that calculate each sample data sets the sample distribution density around; Choose the former sample distribution around the K concentration of sample points as the initial clustering center clustering; Calculation of various kinds of clusters in each sample to the other
cluster sample distance, the sum of minimum value choice of the sample as the new clustering center to clustering, until the sum of all the samples to where the cluster center distance remains the same.
leprae and the efficacy of targeting contacts with preventive interventions such as chemoprophylaxis, (11) we estimated the background prevalence of leprosy in an endemic community in Bangladesh through a multistage random
cluster sample of the general population.
Designing an efficient adaptive
cluster sample. Environmental and Ecological Statistics, v.10, p.95-105, 2003.
An important component of planning experiments with clustering (whether they be multi-site or cluster randomized designs) is to determine the optimal within and between
cluster sample sizes subject to a cost constraint.