For example, a Box-Benhken or other response surface design can have only continuous factors. This means, for example, that you can create a design with just the interactions that are of interest you can selectively choose those interactions that are not of interest and drop collecting their associated combinations. Over the last 15 years, using methods broadly known as an "exchange algorithm," JMP can create designs that are far more flexible than conventional designs. The design of experiments (DOE) platform is simply outstanding and, in fact, the principal developers of it have won several awards.I have spent many lengthy meetings working with the profiler to review design and process options with never a dull moment. You can also specify desirability (maximize, maximize, match-target) and their relative importances to find factor settings that are optimal. You can monitor the effect of changing factors (Xs) and see how they interact with other factors and the responses.
JMP MULTIPLE REGRESSION SERIES
Rather than looking at static figures in a spreadsheet, or a series of formulas, JMP profiles the formulas interactively. One of the best examples of this is JMP's profiler.This makes analyses dynamic and engaging and obviates the complete dependence on understanding p-values and other statistical concepts(though they are all there) that are often found to be foreign or intimidating. JMP makes most things interactive and visual.It's a small thing but it reflects the thinking of the developers: analysts know their data and should only have to think about their data. contingency, ANOVA, linear regression, etc.), with JMP you simply assign the columns in a dialog into roles in the analysis and it chooses the correct statistical method.
JMP MULTIPLE REGRESSION SOFTWARE
So, unlike other software where you must choose the correct statistical method (eg. JMP's design is centred on the JMP data table and dialog boxes. In fact, JMP operationalizes the most advanced statistical methods.
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