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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.
Sequential Sampling: This is somewhat complex sample design where the ultimate size of the sample is not fixed in advance but is determined according to mathematical decisions on t
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how can write co variance using summation notation
Your firm purchased a line of computer equipment for $1.5M four years ago. It is assigned a CCA rate of 20% and the firm has a tax rate of 35%. At the end of this year (year 4 for
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