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Agglomerative hierarchical clustering methods/procedures
Methods of cluster analysis that start with each individual in the separate cluster and then, in the series of steps, combine the individuals and later, it clusters into new larger clusters until a final stage is attained where all individuals are the members of a single group. At each stage or phase the individuals or clusters which are 'closest', in accordance to some particular definition of the distance are attached. The whole procedure can be summarized by the dendrogram. Solutions consequent to particular numbers of clusters are found by 'cutting' the dendrogram at the suitable level. See also average linkage, Ward's method, single linkage, complete linkage, K-means clusterAnalysis, Mojena's test and divisive methods or procedure.
Advantages of sampling over population
Linear regression is a regression methods that models the relationship between a dependent variable independent variables ? X1 i = 1 .........p and a random term . the mod
Find a population data set that contains six entries, has a mean of 5, and has a standard deviation of 2
advantages and disadvantages of integrated economic statistics
Amortized cost The par value of its decision enhanced or lowered by any unamortized top quality or lower price.
Limitations of ndex numbers
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