2011
DOI: 10.1007/s11018-011-9814-9
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Use of simulation modelling for checking monitoring and testing procedures

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Cited by 3 publications
(4 citation statements)
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“…The value σ F shows how the use of the second parameter x 2 to determine the value of F decreases (if σ F < 1) or increases (if σ F > 1) the SD of the indirect measurement according to equation (3) compared to using only the parameter x 1 . In the notation (7), from (6) we obtain: Figure 1 shows the results of calculating the dependences σ F = σ F (σ 2 ) by formula (8) in the range 0 ≤ σ 2 ≤ 3 for different coefficients R of the correlation between the parameters x 1 and x 2 in the possible range -1 ≤ R ≤ 1 of its change. Figure 2 shows the results of calculating the dependences by σ F = σ F (R) formula (8) at different values in the range of -1 ≤ R ≤ 1.…”
Section: Analysis and Its Resultsmentioning
confidence: 99%
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“…The value σ F shows how the use of the second parameter x 2 to determine the value of F decreases (if σ F < 1) or increases (if σ F > 1) the SD of the indirect measurement according to equation (3) compared to using only the parameter x 1 . In the notation (7), from (6) we obtain: Figure 1 shows the results of calculating the dependences σ F = σ F (σ 2 ) by formula (8) in the range 0 ≤ σ 2 ≤ 3 for different coefficients R of the correlation between the parameters x 1 and x 2 in the possible range -1 ≤ R ≤ 1 of its change. Figure 2 shows the results of calculating the dependences by σ F = σ F (R) formula (8) at different values in the range of -1 ≤ R ≤ 1.…”
Section: Analysis and Its Resultsmentioning
confidence: 99%
“…In the notation (7), from (6) we obtain: Figure 1 shows the results of calculating the dependences σ F = σ F (σ 2 ) by formula (8) in the range 0 ≤ σ 2 ≤ 3 for different coefficients R of the correlation between the parameters x 1 and x 2 in the possible range -1 ≤ R ≤ 1 of its change. Figure 2 shows the results of calculating the dependences by σ F = σ F (R) formula (8) at different values in the range of -1 ≤ R ≤ 1. Taking into account the symmetric influence of the parameters x 1 and x 2 on the result of calculating the value of F (x 1 , x 2 ) by formula (3), for analysis in the case of 0 ≤ σ 2 ≤ 1, the parameters x 1 and x 2 can be swapped and the case σ 2 ≥ 1 can be considered.…”
Section: Analysis and Its Resultsmentioning
confidence: 99%
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