With interval width and coverage probability as evaluation measures, our method achieves a more than three times lower interval width than other methods while the coverage probability can be still guaranteed.
This framework is combined with a multi-objective optimizer, where the interval width is considered as an objective.
Sampling seven storms is the most efficient method for attaining small confidence interval width for annual concentration.
The percent mortality model resulted in pseudo median differences between observed and predicted values of 1.1%, RMSE of 12.4%, and 95% confidence interval width of 4.6%.
The optimal strategy was used to determine the appropriate number of storms to sample annually based upon confidence interval width for estimates of annual mass emissions and concentration.
This increased credible interval width is consistent with statistical theory, because vessel effects will result in non-independence of different sampling occasions, thus decreasing effective sample sizes.
When the sampling variation is considered, the variance of the sample sensitivity is slightly inflated, but its confidence interval width becomes widely dispersed.
To this, two coupled dynamical systems are designed which compute an upper bound and a lower bound of the state which enclose the real value with a bounded interval width.
By introducing the interval algorithm into the dynamic analysis of vehicle-bridge interaction system, the expressions of the midpoint value, interval width, lower and upper bounds of interval bridge dynamic response are developed.
More precisely, it is a summation of over propagation time interval, where denotes the interval width.
At this stage ( sigma = 4 ) is not considered as the value that provides the most satisfactory interval width ( omega ).
