JMP 4 statistical discovery software
Cary, N.C.— JMP version 4's approach to design of experiments is to allow users to describe their engineering problem through factors, interactions, budget constraints, and goals, and then let JMP construct a tailored design in the fewest runs. Statistical support is expanded to include methods and diagnostic tools for evaluating time series data, restricted maximum likelihood methods fo...
Cary, N.C.— JMP version 4’s approach to design of experiments is to allow users to describe their engineering problem through factors, interactions, budget constraints, and goals, and then let JMP construct a tailored design in the fewest runs. Statistical support is expanded to include methods and diagnostic tools for evaluating time series data, restricted maximum likelihood methods for mixed models, and more. JMP 4 also incorporates a new Taguchi Arrays platform for constructing inner and outer arrays as well as calculating signal-to-noise ratios. JMP’s results are simultaneously displayed in tables and pictures. www.sas.com
SAS Institute
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