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Monte Carlo simulation model

Cost-effectiveness of rosuvastatin in comparison with generic atorvastatin and simvastatin in a Swedish population at high risk of cardiovascular events

Cost-effectiveness of rosuvastatin in comparison with generic atorvastatin and simvastatin in a Swedish population at high risk of cardiovascular events

... probabilistic Monte Carlo simulation model based on data from JUPITER (the Justification for the Use of statins in Prevention: an Intervention Trial Evaluating Rosuvastatin) was used to ...

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Microcanonical Monte Carlo Simulation of  2D 4 State Potts Model

Microcanonical Monte Carlo Simulation of 2D 4 State Potts Model

... Monte Carlo simulation of two dimensional 4 state Potts model has been car- ried out in microcanonical ...Potts model is concluded to be first-order in ...

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Open Journal Systems

Open Journal Systems

... or Monte Carlo simulation is not an extraneous concept in agricultural sciences ...the simulation of such plans is ...programming model to determine least-cost synthetic fertilizer ...

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Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation

Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation

... The requirements quality performance distribution was fed back into the BBN model to calculate the number of requirements defects created during a project. Data from earlier projects was used as a baseline for ...

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Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media

Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media

... Many of the existing variance reduction methods built upon pseudo-random sequences, e.g. MLMC, are focused on reducing the overall computational cost of a numerical simulation. QMC methods aim to accelerate the ...

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BioMOCA—a Boltzmann transport Monte Carlo model for ion channel simulation

BioMOCA—a Boltzmann transport Monte Carlo model for ion channel simulation

... groups. These force fields are the result of an extraordinary effort to choose atomic parameters that reproduce important macroscopic properties of amino acids and proteins [9]. There is not agreement, however, about ...

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A First Passage Time Model for Counterparty Default

A First Passage Time Model for Counterparty Default

... both Monte Carlo simulation and ...from Monte Carlo get closer to the results from the formula when step number N increasing from 1000 to 5000 with the same paths 100000 (Figure ...

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We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

... between monte carlo simulation and measurements Table 2 shows the results for an elongated ...to model the collimator exchange effect and therefore will result in an error of ...

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Portfolio Optimization & Monte Carlo Simulation

Portfolio Optimization & Monte Carlo Simulation

... using Monte Carlo simulation of the equity growth model by Pedersen [3] which samples historical financial data for a company and simulates its future equity, earnings, dividends, ...This ...

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Simulation and Evaluation Of Combat
Effectiveness Analysis Of Remote Control
Missiles In Net-Centric-Warfare

Simulation and Evaluation Of Combat Effectiveness Analysis Of Remote Control Missiles In Net-Centric-Warfare

... mathematical model with 6DOF of movements is established to describe the maneuverability of missile according the targets position ...target Monte Carlo method has been used ...

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M/M/C Queue under Monte Carlo Simulation for a Restaurant Model

M/M/C Queue under Monte Carlo Simulation for a Restaurant Model

... In this paper section1 gives Introduction and model description. Section 2 gives Chi-Square test. Section 3 gives calculation of simulation and analytical methods. Section 4 describes numerical study and ...

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Pricing of collateralized debt obligations and credit default swaps using Monte Carlo simulation

Pricing of collateralized debt obligations and credit default swaps using Monte Carlo simulation

... form model focuses on modeling the probability of default based on market data compared to a structural model which models a default based on if the value of the firm, based on debt and equity, drops below ...

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Efficient Computation and Uncertainty Analysis of Underwater Acoustic Propagation based on Kriging Surrogate Model

Efficient Computation and Uncertainty Analysis of Underwater Acoustic Propagation based on Kriging Surrogate Model

... science, Monte Carlo method can be used to solve the actual problem from a statistical perspective using a large number of statistical tests ...acoustic model is directly used as a forward ...

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Monte Carlo simulation as a service in the Cloud

Monte Carlo simulation as a service in the Cloud

... use Monte Carlo simulations, that is because they write their code and perform their simulations on the desktop (MacKenzie and Spears, ...the Monte Carlo calculations in the Cloud, it can ...

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OPTION PRICING USING MONTE CARLO SIMULATION

OPTION PRICING USING MONTE CARLO SIMULATION

... (2009), simulation is a statistics-based behavioural approach that applies predetermined probability distributions and random numbers to es- timate risky ...that simulation is the imitation of a real world ...

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MONTE-CARLO SIMULATION OF ROAD TRANSPORT EMISSION

MONTE-CARLO SIMULATION OF ROAD TRANSPORT EMISSION

... between model categories of methodological perspectives. The first category is the bottom-up sector analysis where the microscopic data are available (Johansson, 1995; Bellasio et al., 2007; Junevičius et al., ...

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A New Approach to Monte Carlo Simulation of Operations

A New Approach to Monte Carlo Simulation of Operations

... Quantum Monte Carlo methods solve the many-body problem for quantum ...physics, Monte Carlo methods are used for designing detectors, understanding their behavior and comparing experimental ...

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Bandwidth simulation as a Monte Carlo queuing system

Bandwidth simulation as a Monte Carlo queuing system

... 2. The basic concepts and how to simulate the problem Mathematical theory of optimal sending, receiving and storing data and information is called information theory. In this theory, Claude Shannon has examined the way ...

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Monte Carlo Simulation in Radionuclide Therapy
Dosimetry

Monte Carlo Simulation in Radionuclide Therapy Dosimetry

... Monte Carlo [MC] method was first introduced by Snyder at Oak Ridge National Laboratory in order to assess the fraction of photon and electron energy emitted from radionuclides in source tissues, deposited ...

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Electric-field Control of a Spin “bit” Configuration  in MERAM Model: A Monte Carlo Study

Electric-field Control of a Spin “bit” Configuration in MERAM Model: A Monte Carlo Study

... The Monte Carlo simulation has been applied for the anisotropy model taken into account the magnetocrystalline anisotropy and shape anisotropy as well as the effective anisotropy ...

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