Taguchi Experiments

Written by Tara Peris
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Taguchi experiments are statistical experiments that are common in the engineering field. They may be used in order to make a determination about the best ratio of various product components and to maximize product development. Indeed, they are central to most industrial statistical analysis.

Taguchi experiments are the best way to experimentally manipulate the different variables involved in your particular project. Say you are interested in making a new kind of glue. You know that you need ingredients A, B, and C, and you have hypotheses about the optimal combination. Should you proceed by trial and error?

Running Taguchi Experiments
Taguchi experiments may be used to examine the outcome without testing every possible permutation. Indeed, they are time-saving devices that allow you to find the best model fit without running countless strings of analysis. Thus, you get an effective solution efficiently delivered.

If you are familiar with matrix algebra and multivariate statistical analysis, the basic principals of this technique are likely to sound familiar because they are built on the use of categorical arrays. It is fairly easy to run these experiments on your own after some basic stats training, and workshops are available to provide instruction in new analytical design methods.

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