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Individual based models can be analyzed by employing analytical tools (e.g., by eliminating spatial heterogeneity or by eliminating individual variability) [15] or by performing intensive simulation studies to evaluate sensitivity to various model parameters, as in [4] [8].
More intensive simulation studies (very dense SNP map and LD) are underway to confirm these results.
We used a diversity panel consisting of 372 European elite wheat (Triticum aestivum L). varieties, which had been genotyped with SNP arrays, and performed intensive simulation studies.
We have developed a new approach for inferring LD from samples with various degrees of non-randomness, and showed the significantly improved robustness of the present approach over the current methods when non-random samples were to evaluate LD through intensive simulation studies and analysis of a case and control sample of β-thalasemia.
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An intensive simulation study shows that our proposed scanning algorithm indeed works well as designed.
An intensive simulation study on a continuous stirred tank reactor process and a comparison of the proposed approach with several existing methods in terms of false alarm rate, missed alarm rate and detection delay, demonstrate that the proposed method for detecting and identifying faults outperforms current approaches.
Through an intensive simulation study and analysis of a real dataset, we demonstrate the robustness of the proposed method to non-randomness in sampling schemes and the significant improvement of the method to provide accurate estimates of the disequilibrium parameter.
The development of the new technology requires intensive a priori simulation studies, which also provide the basis of control design.
The validated numerical model is used to perform intensive simulations to study the window boundary conditions and interlayer anchorage measures on glass window responses to blast loadings.
We approximated the threshold by a much less computationally intensive simulation approach (T1Galan Simul).
Since power studies often concern multiple parameters with multiple values, such Monte Carlo simulation studies can be prohibitively intensive.
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