Cluster sampling, Advanced Statistics

Cluster sampling: A method or technique of sampling in which the members of the population are arranged in groups (called as 'clusters'). A number of clusters are selected at the random and those chosen are then sub sampled. The clusters usually consist of natural groupings, for instance, hospitals, families, schools, and many more.

Posted Date: 7/26/2012 6:28:43 AM | Location : United States







Related Discussions:- Cluster sampling, Assignment Help, Ask Question on Cluster sampling, Get Answer, Expert's Help, Cluster sampling Discussions

Write discussion on Cluster sampling
Your posts are moderated
Related Questions
Odds ratio is the ratio of the odds for the binary variable in two groups of the subjects, such as, males and females. If the two possible states of variable are labeled as 'succe

Higher criticism is a multiple-comparison test concept arising from the situation where there are number of independent tests of significance and interest lies in the rejecting jo

Regression dilution is the term which is applied when a covariate in the model cannot be measured directly and instead of that a related observed value must be used in analysis. I

In the time series plot and scatter graphs there were many outliers that were clearly visible. These have been removed to identify if they were influential or had high leverage and

Infant mortality rate is the ratio of the number of deaths during the calendar year among the infants under one year of age to the total number of live births during that particul

Intercropping experiments are the experiments including growing two or more crops at same time on the same patch of land. The crops are not required to be planted nor harvested at

Ordination is the procedure of reducing the dimensionality (that is the number of variables) of multivariate data by deriving the small number of new variables which contain much

A test for equality of the variances of the two populations having normal distributions, based on the ratio of the variances of the sample of observations taken from each. Most fre

Grade of membership model: This is the general distribution free method for the clustering of the multivariate data in which only categorical variables are included. The model ass

Nearest-neighbour methods are the methods of discriminant analysis are based on studying the training set subjects much similar to the subject to be classified. Classification mig