Customer perceptions of your company's brand are complex and difficult to predict because of the variety of factors involved. Multivariate analysis uses statistical tools such as multiple regression ...

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...

Even after the introduction of ETI for cystic fibrosis, habit continues to have a key role in adherence to inhaled medicines in patients with CF.

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...

Multivariable feedback control systems address the coordinated regulation of processes with multiple interacting inputs and outputs. By modelling the plant in state-space or frequency domains, ...

1. Aspects of multivariate analysis -- 2. Matrix algebra and random vectors -- 3. Sample geometry and random sampling -- 4. The multivariate normal distribution -- 5. Inferences about a mean vector -- ...

Considering its affordability and accessibility, the deployment of date palm fiber (DPF) in cement composites is progressively escalating. However, the primary downside of DPF in cementitious ...

A retrospective analysis compared the overall survival outcomes for SIRT and PHP in patients with metastatic uveal melanoma.