| Analysis of variance |
A statistical technique to separate and estimate different causes of variation. |
| ANOVA |
See Analysis of Variance. |
| BSPC |
Batch Statistical Process Control. |
| Chemometrics |
The application of mathematical and statistical methods to chemical data. |
| Collinearity |
A high level of correlation between variables. |
| Correlation |
Also correlation coefficient, the strength of the relationship between variables. |
| Cross-validation |
A procedure of calculations to simulate the predictive power of a model, in order to determine its significance. |
| 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 |
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 |
Also interaction coefficient, the strength of the relation between an independent variable and dependent variables, as a function of another indepdenent variable. |
| Metabonomics |
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 |
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.
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| Principal Component Regression |
A regression technique that combines principal component calculations with MLR. |
| Process Analytical Technology |
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 |
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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