For example, sales revenue can depend on price, market conditions, advertising spending, competitor pricing and even the weather. The question multivariate analysis hopefully answers is which of ...

we briefly talk about general multivariate analysis, then concentrate on clustering techniques. The goal of clustering analysis is to establish a set of meaningful groups of similar objects by ...

An example might be that we are interested in the effect ... variables), and two way repeated measures MANOVA with an additional covariate. Multivariate analysis of covariance (MANCOVA) is an ...

The following example employs multivariate analysis of variance (MANOVA) to measure differences in the chemical characteristics of ancient pottery found at four kiln sites in Great Britain. The data ...

Multivariate analysis supports lot-wise, wafer-wise and regional monitoring. There are two time trend parameters in the example below. Separately, all the values for both parameter X1 and X2 are ...

Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ...

Multivariate analysis in statistics is a set of useful methods for analyzing ... groups of similar objects by investigating relationships between objects. For example, if you have data from customers, ...