A two-stage Monte Carlo approach to the expression of uncertainty with finite sample sizes

2005 ◽  
Author(s):  
S.V. Crowder ◽  
R.D. Moyer
Keyword(s):  
Monte Carlo ◽  
Finite Sample ◽  
Sample Sizes ◽  
Two Stage ◽  
Monte Carlo Approach ◽  
Expression Of Uncertainty

On the Problem of Bimetallic Nanostructures Optimization: An Extended Two-Stage Monte Carlo Approach

2021 ◽  
pp. 235-250
Author(s):  
Rossen Mikhov ◽  
Vladimir Myasnichenko ◽  
Leoneed Kirilov ◽  
Nickolay Sdobnyakov ◽  
Pavel Matrenin ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Two Stage ◽  
Monte Carlo Approach ◽  
Bimetallic Nanostructures

scholarly journals A Two-Stage Monte Carlo Approach for Optimization of Bimetallic Nanostructures

2020 ◽  
Author(s):  
Rossen Mikhov ◽  
Vladimir Myasnichenko ◽  
Leoneed Kirilov ◽  
Nickolay Sdobnyakov ◽  
Pavel Matrenin ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Two Stage ◽  
Monte Carlo Approach ◽  
Bimetallic Nanostructures

Hybrid maize breeding with doubled haploids: Comparison between selection criteria

2006 ◽  
Vol 54 (3) ◽  
pp. 343-350 ◽  
Author(s):  
C. F. H. Longin ◽  
H. F. Utz ◽  
A. E. Melchinger ◽  
J.C. Reif
Keyword(s):  
Selection Criteria ◽  
Doubled Haploids ◽  
Optimum Allocation ◽  
Finite Sample ◽  
Sample Sizes ◽  
Maize Breeding ◽  
Selection Gain ◽  
Breeding Programmes ◽  
Hybrid Maize ◽  
Breeding Resources

The optimum allocation of breeding resources is crucial for the efficiency of breeding programmes. The objectives were to (i) compare selection gain ΔGk for finite and infinite sample sizes, (ii) compare ΔGk and the probability of identifying superior hybrids (Pk), and (iii) determine the optimum allocation of the number of hybrids and test locations in hybrid maize breeding using doubled haploids. Infinite compared to finite sample sizes led to almost identical optimum allocation of test resources, but to an inflation of ΔGk. This inflation decreased as the budget and the number of finally selected hybrids increased. A reasonable Pk was reached for hybrids belonging to the q = 1% best of the population. The optimum allocations for Pk(q) and ΔGkwere similar, indicating that Pk(q) is promising for optimizing breeding programmes.

Wigner-Boltzmann Monte Carlo approach to nanodevice simulation: from quantum to semiclassical transport

2009 ◽  
Vol 8 (3-4) ◽  
pp. 324-335 ◽  
Author(s):  
Damien Querlioz ◽  
Huu-Nha Nguyen ◽  
Jérôme Saint-Martin ◽  
Arnaud Bournel ◽  
Sylvie Galdin-Retailleau ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Approach ◽  
Semiclassical Transport

Interpretation and use of standard atomic weights (IUPAC Technical Report)

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Adriaan M. H. van der Veen ◽  
Juris Meija ◽  
Antonio Possolo ◽  
David Brynn Hibbert
Keyword(s):  
Monte Carlo ◽  
Atomic Weight ◽  
Standard Uncertainty ◽  
Uncertainty In Measurement ◽  
Propagation Of Uncertainty ◽  
A Value ◽  
The Monte Carlo Method ◽  
Technical Report ◽  
Molecular Masses ◽  
Expression Of Uncertainty

Abstract Many calculations for science or trade require the evaluation and propagation of measurement uncertainty. Although relative atomic masses (standard atomic weights) of elements in normal terrestrial materials and chemicals are widely used in science, the uncertainties associated with these values are not well understood. In this technical report, guidelines for the use of standard atomic weights are given. This use involves the derivation of a value and a standard uncertainty from a standard atomic weight, which is explained in accordance with the requirements of the Guide to the Expression of Uncertainty in Measurement. Both the use of standard atomic weights with the law of propagation of uncertainty and the Monte Carlo method are described. Furthermore, methods are provided for calculating uncertainties of relative molecular masses of substances and their mixtures. Methods are also outlined to compute material-specific atomic weights whose associated uncertainty may be smaller than the uncertainty associated with the standard atomic weights.

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