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Mixture Region
Experimental region for a Mixture design. The Mixture region for a classical Mixture design is a simplex.
Mixture Sum
Total proportion of a mixture which varies in a Mixture design. Generally, the mixture sum is equal to 100%.
However, it can be lower than 100% if the quantity in one of the components has a fixed value.
The mixture sum can also be expressed as fractions, with values varying from 0 to 1.
Mixture Variable
Experimental factor for which the variations are controlled in a mixture design or D-optimal mixture design.
Mixture variables are multi-linearly linked by a special constraint called mixture constraint.
There must be at least three mixture variables to define a mixture design. See Mixture Components.
MLR
See Multiple Linear Regression.
Mode
See Modes.
Model
Mathematical equation summarizing variations in a data set.
Models are built so that the structure of a data table can be understood better than by just looking at all raw
values.
Statistical models consist of a structure part and an error part. The structure part (information) is intended to be
used for interpretation or prediction, and the error part (noise) should be as small as possible for the model to
be reliable.
Model Center
The model center is the origin around which variations in the data are modeled. It is the (0,0) point on a score
plot.
If the variables have been centered, samples close to the average will lie close to the model center.
Model Check
In Response Surface Analysis, a section of the ANOVA table checks how useful the interactions and squares
are, compared with a purely linear model. This section is called Model Check.
If one part of the model is not significant, it can be removed so that the remaining effects are estimated with a
better precision.
The Unscrambler Methods
Glossary of Terms 251