Plan for Studying Accuracy and Precision of Analytical Procedure

Linnig, Frederic J.; Mandel, John; Peterson, John

doi:10.1021/ac60091a002

Cited by 22 publications

(5 citation statements)

References 7 publications

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“…These questions relate to the values of the intercept and the slope of a plot of "found" vs. "added," similar to the one shown in Figure 1 (9). Now, if answers to these questions are obtained by means of a statistical analysis, these answers should be compatible with the data, not only individually but collectively.…”

Section: Fitted Linementioning

confidence: 82%

“…It has been suggested in relation to these data (9) that the reason for finding results higher than the stoichiometric values may be the opacity of the solution, II. The three questions that arose in connection with these data can readily be answered by means of this figure.…”

Section: Joint Reliability Of Slope and Interceptmentioning

confidence: 93%

“…Once this has been done, the precision and accuracy of the method can be effectively studied by analyzing a series of prepared samples covering the range of concentrations over which the method is applicable. This procedure, which involves the statistical theory of fitting straight lines based on the method of least squares, has been described by Youden (18,19) and applied by Linnig, Mandel, and Peterson (9) and by Lark (8). Essentially, the slope of the fitted straight line can be compared to a value based on stoichiometric or other theoretical considerations; the intercept, to "blank" determinations;…”

mentioning

confidence: 99%

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Study of Accuracy in Chemical Analysis Using Linear Calibration Curves

Mandel¹,

Linning²

1957

Anal. Chem.

Self Cite

208

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It can be more easily detected in quantitative fashion by observing the 511-k.e.v. annihilation quanta produced when the positron and a free electron mutually annihilate. To simplify the determination of the counting geometry, it is necessary to ensure that all positrons are stopped in the immediate vicinity of the source.Niteogen -14(d, «)Oxygen-15. The nuclide oxygen-15 has an inconveniently short life of 2.1 minutes. In order to get a reproducible counting rate of oxygen-15 from a given nitrogen sample, the deuteron beam must not vary appreciably in intensity. As this is sometimes difficult to achieve with a'Van de Graaff, another reliable means of obtaining reproducibility has been used. The charge on the capacitor in the beam current integrator is caused to decay at the same rate (through a leak resistor) as the nuclide under investigation. Thus a

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Section: Fitted Linementioning

confidence: 82%

Section: Joint Reliability Of Slope and Interceptmentioning

confidence: 93%

mentioning

confidence: 99%

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Study of Accuracy in Chemical Analysis Using Linear Calibration Curves

Mandel¹,

Linning²

1957

Anal. Chem.

Self Cite

208

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“…We have used four performance metrics: area under receiver operating characteristics (ROC) [68] curve, F‐measure [69], precision [70], and Mathews correlation coefficient (MCC) [71]. The confusion matrix is shown below, it describes the prediction as true positive (TP), false positive (FP), true negative (TN), or false negative (FN).…”

Section: Introductionmentioning

confidence: 99%

Software defect prediction using K‐PCA and various kernel‐based extreme learning machine: an empirical study

2020

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Predicting defects during software testing reduces an enormous amount of testing effort and help to deliver a high‐quality software system. Owing to the skewed distribution of public datasets, software defect prediction (SDP) suffers from the class imbalance problem, which leads to unsatisfactory results. Overfitting is also one of the biggest challenges for SDP. In this study, the authors performed an empirical study of these two problems and investigated their probable solution. They have conducted 4840 experiments over five different classifiers using eight NASA projects and 14 PROMISE repository datasets. They suggested and investigated the varying kernel function of an extreme learning machine (ELM) along with kernel principal component analysis (K‐PCA) and found better results compared with other classical SDP models. They used the synthetic minority oversampling technique as a sampling method to address class imbalance problems and k‐fold cross‐validation to avoid the overfitting problem. They found ELM‐based SDP has a high receiver operating characteristic curve over 11 out of 22 datasets. The proposed model has higher precision and F‐score values over ten and nine, respectively, compared with other state‐of‐the‐art models. The Mathews correlation coefficient (MCC) of 17 datasets of the proposed model surpasses other classical models' MCC.

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“…The reproducibility of results attained with a given method in different laboratories or in the hands of different operators and the nearness with which these values approach the actual amount of a constituent in a sample are important for evaluating an analytical method (96,101,102,120). Sources Apparatus and manipulations for the application of micromethods to the analysis of metals were described (91,92).…”

mentioning

confidence: 99%

Ferrous Metallurgy

Beeghly¹

1957

Anal. Chem.

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Plan for Studying Accuracy and Precision of Analytical Procedure

Cited by 22 publications

References 7 publications

Study of Accuracy in Chemical Analysis Using Linear Calibration Curves

Study of Accuracy in Chemical Analysis Using Linear Calibration Curves

Software defect prediction using K‐PCA and various kernel‐based extreme learning machine: an empirical study

Ferrous Metallurgy

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