statistical Monte Carlo approach
Analyzing spatial aggregation error in statistical models of late-stage cancer risk: a Monte Carlo simulation approach
... The ecological fallacy arises when making inferences from higher to lower levels of analysis [8]. The model coefficients estimated based on aggregated data differ from those at the individual level, leading to errors of ...
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Ultra-fast Carrier Transport Simulation on the Grid. Quasi-Random Approach
... of Monte Carlo applications makes efficient use of Grid ...(distributed) Monte Carlo applications require that the underlying random number streams in each subtask are independent in a ...
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Monte Carlo sampling approach to stochastic programming
... following statistical test, based on estimation of f (ˆ x ) − v 0 , was suggested by Norkin, Pflug and Ruszczynski [13] and developed further in Mak, Morton and Wood ...
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Derivation and evaluation of landslide triggering thresholds by a Monte Carlo approach
... In fact, adequate historical data on landslides and simul- taneous rainfall are in most cases available for a relatively short period, which may not be sufficiently significant from a statistical point of view. ...
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Examples of Monte Carlo techniques applied for nuclear data uncertainty propagation
... MC approach overcomes those limitations, but due to its stochastic nature it carries an inherent statistical ...the statistical uncertainty a large number of samples is often required, which implies ...
7
Low sample size and regression: A Monte Carlo approach
... This interpretation is indeed useful since it states that low sample relationships are more likely to be found when the sample size increases over the experiments. In fact, there are some literature which also critiques ...
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Collectivity in Heavy Nuclei in the Shell Model Monte Carlo Approach
... model approach has been a major ...auxiliary-field Monte Carlo method, known in nuclear physics as the shell model Monte Carlo (SMMC) method ...and statistical properties of ...
6
Appropriation of the ‘Witch’ Stigma as White Women's Self-Empowerment
... the Monte Carlo method refers to a technique through which random numbers are used to solve ...a statistical sampling approach to a variety of problems in mathematical physics and proposed the ...
52
The quantum Monte Carlo method : application to problems in statistical physics
... variational approach has significant problems due to the large anharmonicities and local mode methods are more ...general approach may also be applied to study intermolecular motions but statistical ...
252
Development of Monte Carlo Methods in Hypersonic Aerodynamics
... a statistical realization of the evolution of model during the time Δt rather than to the realization of the Boltzmann ...the approach developed by Belotserkovskii and Yanitskii provides a basis for ...
8
A Monte Carlo Based Approach for Groundwater Chemistry Inverse Modeling
... modeling approach proposed in this study, the forward model PHREEQC has already been well vetted elsewhere in the ...MHMC approach serves to safeguard against inverse models that contain spurious mass ...
10
A Quantum Monte Carlo approach to dark matter-nuclei interaction
... This approach allows for a direct match of cross sections to the interaction at high energy scales and could provide the nuclear input needed in the interpretation of future experimental searches, in the case of 3 ...
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A Quantile Monte Carlo approach to measuring extreme credit risk
... and Monte Carlo is a particularly useful tool in enriching the database when dealing with smaller numbers of ...prominent Monte Carlo Simulation studies ...
11
Charged Particles in a Dielectric with Friction is THE Fundamental Problem in Plasmas, including Plasmas of Life
... RyR RyR Channel Channel PNP/DFT Monte Carlo PNP/DFT Monte Carlo Selectivity filter Various. many − charges[r] ...
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TAKING THE GUESSWORK OUT OF FEASIBILITY ASSESSMENT IN ONCOLOGY TRIALS Data Drives Greater Predictability, Speed and Savings for Sponsors
... One sponsor conducting an ongoing Phase III trial in mesothelioma had an unexpected change in the trial’s scope: the enrollment target of 180 patients was increased to 564. Eighty-four patients had been enrolled, so ...
6
Analytic Method for Probabilistic Cost. and Schedule Risk Analysis. Final Report
... formalized approach to identifying types of functional correlations that exist in the WBS structure, or for that matter a schedule network, and how directly the random variables are related to each ...
190
Maximum Likelihood Estimation of Co-Channel Multicomponent Polynomial Phase Signals Using Importance Sampling
... from statistical theories, for example, the ML estimation, will suffer more computational burden for its multidimensional grid search than in the case of monocomponent, or need an appropriate guess of the initial ...
12
Tensor CP Decomposition with Structured Factor Matrices: Algorithms and Performance
... relevant statistical evaluation from a practical standpoint, we discuss the application of our formulas in a Bayesian context, where prior distributions are assigned to the model ...The statistical ...
15
Differential top-quark pair production measurements
... To compare to theoretical calculations, detector acceptance and resolution e ff ects have to be corrected using an unfolding procedure. This can be done by constructing a migration matrix which relates the reconstructed ...
8
A measurement of the triple gauge boson couplings and W boson polarisation in W-pair production at LEP2
... level Monte Carlo and from the corrected polarised cross-sections will give a quantitative check of the detector correc ...level Monte Carlo and also fully simulated Monte ...
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