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Firstly, the robust objective function is formulated by a combination of interval mean and interval variance of the deterministic objective function.
Secondly, the interval mean and interval variance are computed by a hybrid uncertain analysis approach, termed as Polynomial Chaos-Chebyshev Interval (PCCI) method.
The maximum entropy method is applied to the prior information with the mean and interval estimate forms on the testability index to obtain the parameters of prior probability density function (PDF), and the empirical Bayesian method is used to get the parameters for the prior information with a success-fail form.
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Point estimates are posterior (weighted) means and interval estimates are equal-tailed 95% credible intervals (CrIs).
For additional information, Tables 5 and 6 provide the exact means and interval endpoints; significant differences on the 80% level are marked with a "∗".
Finally, the interval mean values and interval variances of the system dynamics are obtained by using the interval arithmetic.
For each preparation, the mean amplitude and interval between contractions were calculated.
Means and intervals were calculated using log2 transformed data.
Point estimates are posterior means, and intervals are equal-tailed credible intervals, unless otherwise noted.
Results are expressed as means and intervals in Table 2. Overall median intensities of the two TICs were significantly different between the two groups (p < 0.0001).
The rhombus shows the mean and confidential interval.
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