Talks and Presentations by North Haven Group
Multiple Optimization - The challenge in multiple response optimization is to find settings for multiple input variables that achieve desirable performance levels for one or more responses.
Partition In Six Sigma - Data mining refers to a collection of techniques used primarily to analyze large observational data sets.
Unlike traditional “statistical” techniques, data mining methods do not utilize hypothesis testing for assessing model fit or decision-making.
Data mining methods include neural nets, classification and regression trees, clustering algorithms, as well as other methods.
Data Mining and DOE - In both transactional and manufacturing Six Sigma situations, large observational data sets relating to the processes of interest are often available.