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Gy, P. Chemometrics Intelligent Laboratory Systems. 74: 7–60, 2004. 14. M. Sampling Particulate Material Systems. Amsterdam: Elsevier. 1979. 15. N. C. Statistics and Chemometrics for Analytical Chemistry. New York: Pearson Education. 2010. 16. G. Chemometrics: Data Analysis for the Laboratory and Chemical Plant. Chichester: Wiley. 2003. 17. Caulcutt, R. and Boddy, R. Statistics for Analytical Chemists. London: Chapman and Hall. 1995. 18. Coleman, D. and Vanatta L. Statistics in analytical chemistry—Calibration: Introduction and ordinary least squares.
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21 mL, and so on. In addition, the volumes will depend on temperature and also on the skill and consistency of the analyst. Thus, the amount of liquid measured will form a distribution; the wider the distribution, the greater the uncertainty. Another source is a consequence of calibration uncertainty. This may arise, for example, from bias in the calibration model. Although replicate measurements on a sample may be very similar, and the sampling may be performed well, there may be problems with the original calibration, adding an additional source of error.
Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations - Neural Networks, IEEE Transactions on