Minitab: Coefficient of determination; indicates how much variation in the response is explained by the model. The higher the R2 , the better the model fits your data. |
ISO 3534: Echantillon prélevé selon une méthode de sélection aléatoire. |
ISO 3534: Sample which has been selected by a method of a random selection. |
ICH: Les limites expérimentales de concentration entre lesquelles un modèle d'étalonnage linéaire peut être appliqué avec un risque d'erreur connu. |
ICH: It is the interval between the upper and lower concentration of analyte in the sample (including these concentrations), for which it has been demonstrated that the analytical procedure has a suitable level of precision, accuracy and linearity. |
6 sigma: The difference between the largest and smallest obesrvations in a data set. |
Guide EURACHEM: The fraction of analyte added to a test sample (fortified or spiked sample) prior to analysis, the unfortified and fortified samples. |
Guide EURACHEM: Material or substance one or more of whose property values are sufficiently homogeneous and well established to be used for the calibration of an apparatus, the assessment of a measurement methode, or for assigning values to materials. |
MSA: Accepted value of an artifact, which requires an operational definition. Used as the surrogate for the true value. |
: This term is used to describe a group of method that summarize the degree of association between one variable (or set of variables) and another variables (or set of variables). The most common statistical method used to do this is the least squares regression, which works by finding the "best curve" through the data that mimizes the sums of square residuals. |
MSA: A statistical study of the relationship between two or more variables. A calculation to define the mathematical relationship between two or more variables. |
TS 16949: A statistical study of the relationship between two or more variables. A calculation to define the mathematical relationship between two or more variables. |
: Le coefficient de variation CV est un nombre sans dimension, exprimé en %, donnant le pourcentage que représente l'écart-type sur la moyenne. Le CV a pour interêt de permettre la comparaison entre les fluctuations relatives de variables de natures différentes. |
ISO 5725: Fidélité sous des conditions de répétabilité |