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  2. Calibration - Wikipedia

    en.wikipedia.org/wiki/Calibration

    The formal definition of calibration by the International Bureau of Weights and Measures (BIPM) is the following: "Operation that, under specified conditions, in a first step, establishes a relation between the quantity values with measurement uncertainties provided by measurement standards and corresponding indications with associated measurement uncertainties (of the calibrated instrument or ...

  3. Calibration (statistics) - Wikipedia

    en.wikipedia.org/wiki/Calibration_(statistics)

    There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. Calibration can mean a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; [1]

  4. Color calibration - Wikipedia

    en.wikipedia.org/wiki/Color_calibration

    The aim of color calibration is to measure and/or adjust the color response of a device (input or output) to a known state. [1] In International Color Consortium (ICC) terms, this is the basis for an additional color characterization of the device and later profiling. [ 2 ]

  5. Calibration curve - Wikipedia

    en.wikipedia.org/wiki/Calibration_curve

    A calibration curve plot showing limit of detection (LOD), limit of quantification (LOQ), dynamic range, and limit of linearity (LOL).. In analytical chemistry, a calibration curve, also known as a standard curve, is a general method for determining the concentration of a substance in an unknown sample by comparing the unknown to a set of standard samples of known concentration. [1]

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Accuracy and precision - Wikipedia

    en.wikipedia.org/wiki/Accuracy_and_precision

    the difference between the mean of the measurements and the reference value, the bias. Establishing and correcting for bias is necessary for calibration. the combined effect of that and precision. A common convention in science and engineering is to express accuracy and/or precision implicitly by means of significant figures. Where not ...

  8. The 7 best OTC hearing aids for seniors, according to ... - AOL

    www.aol.com/lifestyle/the-7-best-otc-hearing...

    Set-up: Prescription hearing aids require professional fitting and calibration, while OTC options are generally self-fitting. Users adjust the volume manually or use an app to customize sound ...

  9. Laboratory quality control - Wikipedia

    en.wikipedia.org/wiki/Laboratory_quality_control

    The main difference between the two is that validation is focused on ensuring that the device meets the needs and requirements of its intended users and the intended use environment, whereas verification is focused on ensuring that the device meets its specified design requirements.