The Wilcoxon rank-sum test is widely used to test the equality of two populations, because it makes fewer distributional assumptions than parametric procedures such as the t-test. However, the ...

Data clustering, or cluster analysis, is the process of grouping data items so that similar items belong to the same group/cluster. There are many clustering techniques. In this article I'll explain ...

If you limit your analysis of the cloud DW space just to the MS-AWS lobe, you'll miss some important breakthroughs in the market. For example, Microsoft distinguishes its Azure SQL Data Warehouse from ...

Sometimes, a startup takes such a new and profound approach to a problem that it is hard to know where to begin to describe how radical of a change that company has made in developing its product. So ...

As file sizes and data sets grow into the terabyte and petabyte range, users are looking for a method for storing, accessing and sharing the files among different hosts. That’s where clustered and ...

We consider estimation in a semiparametric partially generalised linear model for clustered data using estimating equations. A marginal model is assumed where the mean of the outcome variable depends ...

When data is stored in a normal table, the rows are physically stored in allocated blocks in the order in which you insert them into the database. For example, if you have a table of information about ...