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Design of Experiments in NCSS
Introduction
These programs can generate factorial and repeated measures designs, 2k factorial designs, B.I.B. designs, d-optimal designs, fractional factorial designs, Latin square designs, screening designs, Taguchi designs, and response surface designs. NCSS also provides for the analysis of these designs using either the general purpose ANOVA and regression procedures or specialized procedures for designs with factors at only two levels.
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Features
| > Aliasing reports > Analysis of variance tables > Automatic design detection > Balanced incomplete block > Block confounding > Blocking > Box-Behnken designs > Box-Hunter-Hunter designs > Central composite designs > Contour plots > D-optimal designs > Effect estimation > Factorial designs |
> Fractional factorials designs > Latin squares designs > Factorial designs > Means plots > Placket-Burman designs > Prob plots of residuals & effects > Regression analysis > Repeated Measures designs > Residual analysis > Response-surface designs > Screening designs (up to 31 factors) > Taguchi designs |
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