Systematic Error in Chemical Analysis

Currie, Lloyd A.; DeVoe, James R.

doi:10.1021/bk-1977-0063.ch003

Cited by 9 publications

(12 citation statements)

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“…Efficient planning can reduce the effort needed to improve accuracy. Currie and DeVoe have recommended (23) that Youden's correlation technique (24) should be used in interlaboratory comparisons in order to distinguish between random errors, laboratory bias, and erratic blunders.…”

Section: Verificationmentioning

confidence: 99%

Guidelines for data acquisition and data quality evaluation in environmental chemistry

MacDougall¹,

Crummett²,

al³

1980

Anal. Chem.

1,457

348

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Section: Verificationmentioning

confidence: 99%

Guidelines for data acquisition and data quality evaluation in environmental chemistry

MacDougall¹,

Crummett²,

al³

1980

Anal. Chem.

1,457

348

View full text Add to dashboard Cite

“…Though all three exhibit considerable dispersion, it is clear that the visual technique gave the best single result as well as the smallest fraction of false positives. 2 The replications (Spectra 300-5) and resolution (Spectrum 400) exercises also indicated often inadequate and 2 Scientific Intuition, as employed by experts, is alleged to be much more disperse that "rule-based" methods [9]. In the light of figure 4, it is not obvious that this presumption is true, for even the "objective" numerical techniques employed by different laboratories operating on exactly the same data gave broad distributions.…”

Section: Iaea Intercomparison Of Gamma Ray Spectrum Analysesmentioning

confidence: 99%

“…A familiar illustration of the outcome of interlaboratory measurement is reproduced in figure 1 [2]. Here, following the spirit of the "Youden Plot" [3], we show the results of pairs of measurements by 10 laboratories of the determination of trace levels of vanadium in two Standard Reference Materials (SRMs).…”

Section: Introduction Accuracy Assessmentmentioning

confidence: 99%

The limitations of models and measurements as revealed through chemometric intercomparison

Currie¹

1985

J. RES. NATL. BUR. STAN.

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Interlaboratory Comparisons using common (reference) materials of known composition are an established means for assessing overall measurement precision and accuracy. Intercomparisons based on common data sets are equally important and informative, when one is dealing with complex chemical patterns or spectra requiring significant numerical modeling and manipulation for component identification and quantification. Two case studies of "Chemometric Intercomparison" using Simulation Test Data (STD) are presented, the one comprising STD vectors as applied to nuclear spectrometry, and the other, STD data matrices as applied to aerosol source apportionment. Generic information gained from these two exercises includes: a) the requisites for a successful STD intercomparison (including the nature and preparation of the simulation test patterns); b) surprising degrees of bias and imprecision associated with the data evaluation process, per se; e) the need for increased attention to implicit assumptions and adequate statements of uncertainty; and d) the importance of STD beyond the Intercomparison-i.e., their value as a chemometric research tool. Open research questions developed from the STD exercises are highlighted, especially the opportunity to explore "Scientific Intuition" which is essential for the solution of the underdeternined, multicollinear inverse problems that characterize modern Analytical Chemistry.

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“…Hence the combination of variances which represent only the uncorrelated uncertainty will not be a true measure of the total uncertainty [5]. The systematic uncertainty is correlated in accelerated ion beam measurements, as most of the measurements are relative measurements with respect to a standard [6], due to inaccurate data reduction models, interference, detector calibration, nuclear decay properties, etc [7,8]. All previous attempts have aimed to decrease the statistical uncertainty by marvellous counting statistics.…”

Section: Introductionmentioning

confidence: 99%

Reduction of systematic uncertainty for particle accelerators in resonance reaction measurements

Kumar¹

1999

Meas. Sci. Technol.

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The technique of determinant inequalities is used to estimate simultaneously the lower bound of the uncorrelated statistical uncertainty and upper and lower bounds of the correlated systematic uncertainties in proton energy measurement in a Van de Graaff accelerator in the resonance reaction 27 Al(p, γ ) 28 Si. Knowledge of such bounds should help experimentalists reduce the correlated systematic uncertainty.

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Systematic Error in Chemical Analysis

Cited by 9 publications

References 0 publications

Guidelines for data acquisition and data quality evaluation in environmental chemistry

Guidelines for data acquisition and data quality evaluation in environmental chemistry

The limitations of models and measurements as revealed through chemometric intercomparison

Reduction of systematic uncertainty for particle accelerators in resonance reaction measurements

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