Software, courses, consulting in design of experiments.

 
 
 
 
 
 

Contact us

 

French version of DOE web siteFRENCH

 

When the effect of one factor depends of the level of another factor, the two factors are considered to have an interaction. The one-variable-at-a-time (OVAT) approach, that is to fix all the variables except the one studied, is inefficient to detect interactions. Statistical experimental designs can be run to detect all or specified interactions between factors.

The NemrodW software supports computation of interactions between more than 2-level factors. The DOE software can estimate interactions of any order.


Main effects and interactions
  Experimental designs
 
  - Full factorials designs,
- Fractionned factorials designs (minimal, with given generators, of maximal resolution ...)
  - Rechtschaffner designs.
  - Mixed level factorials (max levels10).
  - User-defined designs.
  Analysis
 
  - Normal and Half-Normal plots of effects
  - Pareto graph of effects.
  - Effects graph with Lenth or confidence limits
  - Total effects graph.
  - Bayes analysis graph of probability
  - First-order interaction plot and graph
  - Two-order interaction plot
  - Counfounding effects

To buy the DOE software or to get a free evaluation version, please fill out the information request.

 

[Hardware requirements]