Simulation and Estimation using the FKN approach
A Project Management Approach to Using Simulation for Cost Estimation on. Large, Complex Software Development Projects
... In order to explore the benefits of using simulation for cost estimation on large, complex software development projects, a real NASA project will be used as the subject of this study..[r] ...
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Simulation Study on DOA Estimation using ESPRIT Algorithm
... multi-dimensional estimation (PRIME)[5,6] have been investigated by many ...finding using estimation signal parameter via a rotational invariant technique ...
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Fuzzy reliability estimation for Frechet distribution by using simulation
... the estimation of Frechet distribution parameters with the shape parameter (α) and the scale parameter ...Two estimation methods are used based on the maximum likelihood and Bayes ...of simulation ...
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Estimation of flattening coefficient for absorption and circular dichroism using simulation
... the estimation of the flattening coefficient (Q A ) as A sus /A sol , the A sol values might be calculated as A part multiplied either by ...other using the latter ...latter approach has been used to ...
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Simulation of Leveraged ETF Volatility Using Nonparametric Density Estimation
... The simulation routine can be executed in parallel because there is no dependence on the input data across ...The simulation routine is also put to use for estimating the lag parameter , but the input ...
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An Investigation in Construction Cost Estimation Using a Monte Carlo Simulation
... the generalized beta and correlating major cost elements significantly improves a model’s ability to simulate actual project cost effects. With a larger data set to refine the model in this research, the simulation’s ...
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Estimation and Measurement of Biological Tissues Using Optical Simulation Method
... accurate estimation of them. MC Simulation is a statistical technique for simulating random processes and has been applied to light tissue interactions under wide variety of ...
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Fast and flexible simulation and parameter estimation for synthetic biology using bioscrape
... parameter estimation, the intense amount of simulation needed for these methods still frequently results in a computational ...Parameter Estimation) - a Python package for fast and flexible modeling ...
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Simulation Approaches for Burn Severity Estimation Using Remotely Sensed Images
... the estimation of chlorophyll (Zarco-Tejada et ...2005). Simulation models attempt to account for the effects of different factors that modify plant refl ectance and transmittance: chemical composition, ...
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The effectiveness of accuracy in cost estimation by using monte carlo simulation model
... inaccurate estimation of ...by using the alternative method which is Monte Carlo Simulation model in excel, it is also can estimate the cost for a ...the estimation error in calculation which ...
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A Complete Simulation of Target Detection and Estimation Using 77 GHz Radar
... of Simulation model Velocity and range estimation are the principle requirement for collision avoidance sensor based on radar ...complete simulation model is shown in ...
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A Simulation for Estimation of the Blood Pressure using Arterial Pressure-volume Model
... pressure estimation method using an oscillometric sphygmomanometer was performed through a computer simulation using an arterial pressure-volume (APV) ...The estimation of mean arterial ...
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Essays on Simulation-Based Estimation
... Chapter 1, written with Serena Ng, provides an overview of existing frequentist and Bayesian simulation-based estimators. These estimators are seemingly computationally similar in the sense that they all make use ...
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Estimation of permeability of a sandstone reservoir by a fractal and Monte Carlo simulation approach: a case study
... The estimation of the permeability of a hydrocarbon reser- voir is one of the important goals of reservoir ...Carlo simulation approach is applied for the first time to estimate the perme- ability of ...
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Breast Tumor Simulation and Parameters Estimation Using Evolutionary Algorithms
... A multilayer feed-forward ANN with backpropagation learn- ing algorithm is developed to represent the surface tempera- ture profile of the breast as a function of depth, diameter, and heat generation rate of the tumor. ...
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Simulation-based occupancy estimation in office buildings using CO2 sensors
... computed using the logged VAV control ...fit using trial and error to attribute the remaining pressure drop to the main duct and the series pressure drop of the ...
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THE ESTIMATION OF FOOD STAMP SELF SELECTION MODELS USING THE METHOD OF SIMULATION
... c hoice equations (e.g., more than two) to the problem of estimating the true effect of parti c ipation in the FSP and other programs on an outcome variable.. The new technique is more c[r] ...
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Simulation and Estimation of Hedonic Models
... Much of previous analysis of hedonic models has neglected to consider the strong implications imposed by equilibrium on the data generated from a hedonic model. In particular, strong restrictions on preferences and tech- ...
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Estimation of the length of the process simulation
... the simulation as well as the estimates of unknown parameters obtained as a result of ...the simulation duration, sufficient for estimating the unknown parameters of the distribution law for given relative ...
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Estimation of break-lock in PLL synthesizers for monopulse radar applications: Experimental and simulation approach
... A B S T R A C T This work presents and estimates the break-lock in phase locked loop (PLL) synthesizers for monopulse radar applications through experimental measurements and computer simulation. Sinusoidal ...
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