Analysis of variance
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A statistical technique to separate and estimate different causes of variation. |
ANOVA
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See Analysis of Variance. |
BSPC
|
Batch Statistical Process Control. |
Chemometrics
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The application of mathematical and statistical methods to chemical data.
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Collinearity
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A high level of correlation between variables. |
Correlation
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Also correlation coefficient, the strength of the relationship between variables. |
Cross-validation
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A procedure of calculations to simulate the predictive power of a model, in order to determine its significance.
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D-optimal design
|
A computer-generated design for non-standard conditions or when the experimental domains is distorted. The
D in D-optimal stands for determinant. |
Design of Experiments
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A strategy for setting up a set of experiments in which all variables are varied in a systematic manner, for the purpose of determining the correlation between variables and to predict results.
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DOE
|
See Design of Experiments. |
Interaction
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Also interaction coefficient, the strength of the relation between an independent variable and dependent variables, as a function of another indepdenent variable. |
Metabonomics
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The study of excreted metabolites of a species or an individual organism, involving measurements of the response to an influence. |
MLR
|
Multiple Linear Regression. |
MODDE
|
See
MODDE
in the product menu. |
Model
|
The mathematical description of the behaviour of a system. |
MSPC
|
Multivariate Statistical Process Control. |
Multivariate Data Analysis
|
Regression analysis by projection methods such as PCA and PLS. |
MVA
|
See
Multivariate Data Analysis. |
NIPALS
|
See Nonlinear Iterative Partial Least Squares. |
Nonlinear Iterative Partial Least Squares
|
Algorithm for calculating principal components. |
O-PLS
|
Also Orthogonal PLS, a modification of
PLS in which systematic variation in independent factors is divided into two parts; either related or non-related to the dependent responses. |
OLS
|
Ordinary Least Squares, equivalent to MLR. |
Omics
|
The study of a group or system of biomolecules. |
Partial Least Squares Projections to Latent Structures
|
See Projections to Latent Structures. |
PAT
|
See Process Analytical Technology. |
PCA
|
See
Principal Component Analysis |
PCR
|
See Principal Component Regression.
|
PLS
|
See Projections to Latent Structures. |
PLS-DA
|
Also PLS Discriminant Analysis, a PLS analysis involving a dummy variable for classification. |
Prediction
|
A statement (usually quantitative) about what will happen under specific conditions, as a logical consequence of scientific theories. |
Principal Component Analysis
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A transformation where the data set receives a new coordinate system, in which new axes follow the direction of greatest variance in the data set.
|
Principal Component Regression
|
A regression technique that combines principal component calculations with MLR. |
Process Analytical Technologyv
|
Systems for analysis and control of manufacturing processes based on timely measurements, during processing, of critical quality parameters and performance attributes of raw and in-process materials and processes to assure acceptable end product quality at the completion of the process. |
Projections to Latent Structures
|
A regression technique for modelling the relationship between projections of dependent factors and independent responses. |
QSAR
|
See Quantitative Structure-Activity Relationship. |
Quantitative Structure-Activity Relationship
|
Estimation of the strength of a mathematical relation between chemical structure and pharmacological activity for a series of compounds. |
Rectangular Experimental Designs for Multi-Unit Platforms
|
A set of designs, for experiments in 96-well plates using multi-pipettes. |
REDMUP
|
See Rectangular Experimental Design for Multi-Unit Platforms. |
Regression
|
The fitting of a curve to data points, expresses the mathematical relationship between variables. |
SBOL
|
See
SIMCA-Batch-On-Line
in the product menu. |
Semiconductor
|
A material with low conductivity, and hence an intermediate between a conductor and an insulator. |
SIMCA
|
Soft Independent Modeling of Class Analogy. See also the
SIMCA
software family in the product menu. |
Validity
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Term stemming from logical argument, stating that an argument is valid if, for every model, all premises in the model are true, then the conclusion in the model is true. |
Variability
|
The variation between samples in the same condition, without systematic error. |
Variance
|
Measurement of variability, equal to the square of standard deviation.
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