ML Estimation of the Model Parameters
Consistent estimation of shape parameters in statistical shape model by symmetric EM algorithm
... mixture model (GMM 10, 11 ) can be used to interpret the correspondence probabilistically as hidden random variables, and the maximum likelihood (ML) estimation of the transformation can be solved by ...
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Estimation of parameters in a structured SIR model
... parameter estimation; identifiability; discrete-time system 1 Introduction and problem statement In the past decades, dynamical systems have been used to develop models in physics, bi- ology, chemistry, engineering ...
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Robust estimation of hydrological model parameters
... The estimation of hydrological model parameters is a challenging ...The parameters of fitted hydrological models depend upon the input ...hydrological model. To see the effect of ...
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ML-Estimation in the Location-Scale-Shape Model of the Generalized Logistic Distribution
... 4 Numerical examples The above mentioned Theorem 2 states that the iterative ECM procedure converges to a root of the likelihood. To demonstrate that the procedure really converges, two numerical examples are worked out. ...
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Shrinkage Estimation in the Random Parameters Logit Model
... covariance parameters before deciding to rely on the fully correlated random parameter model instead the model in which the parameters are random but uncorrelated, so that Σ is ...parameter ...
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Bayesian estimation of parameters in a regional hydrological model
... and model uncertainty is represented. The use of a statistical model for the simulation errors to represent the uncertainties in the model structure has some drawbacks, particularly because it does ...
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Fuzzy Estimation Analysis of Photovoltaic Model Parameters
... parameter estimation of one diode equivalent circuit model of PV ...the parameters estimation of PV ...circuit parameters: series resistance, shunt re- sistance, diode photo current, ...
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Quasi ML Estimation of the Panel AR(1) Model with Arbitrary Initial Conditions
... To gain further insight into the performance of the Quasi ML estimators we have con- ducted various Monte Carlo experiments. In particular, we have compared the finite sample properties of the REQMLE, the FEQMLE, ...
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Evaluation of Experiments for Estimation of Dynamical Crop Model Parameters
... the parameters selected for the separate treatments is ...different parameters are selected for the source-limited experiments and for the sink-limited experi- ...
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Estimation of parameters in a distributed precipitation runoff model for Norway
... in model calibration and validation are shown in ...the model grid cells are determined by inverse distance interpolation of observations from the three closest precipitation stations and the two closest ...
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Evaluation of Cuckoo Search Usage for Model Parameters Estimation
... nonlinear model is investigated from both aspects of effi- ciency and ...of estimation of param- eters of a nonlinear model for the cutting tool temperature in an industrial metal cutting system, ...
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Estimation of Parameters for Model Matching using Genetic Algorithms
... For this, a Roulette wheel was implemented. Random numbers be- tween the interval 0 and 1 were generated by means of RAND com- mand in Matlab. A particular member was selected if the random number generated falls between ...
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A Comparative Study for Estimation Parameters in Panel Data Model
... general estimation method for fixed, RCR, and Mixed RCR ...several estimation methods for the panel data models when the regression coefficients are ...
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Simultaneous Estimation of All the Parameters of a Stepwise Mutation Model
... simultaneous estimation of all the parameters in a stepwise mutation model and the ancestral allelic type of a ...of parameters suggest that there is a general tendency for microsatellite ...
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On the Estimation of Parameters and Best Model Fits of Log Linear Model for Contingency Table
... to model the observed cell count where the log of expected cell count is proportional to linear combination involving number of model parame- ...(restricted model). It is a specia- lized case of ...
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Remote estimation of reconnection parameters in the Earth’s magnetotail: model and observations
... Abstract. We develop a method to estimate the reconnected magnetic flux and the location of the reconnection site us- ing properties of magnetic field and plasma velocity distur- bances in the regions surrounding the ...
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A Computational Model for Estimation of Mechanical Parameters in Chemotactic Endothelial Cells
... each component that should be determined before running the cell migration simulation. Translating the chemo attractant concentration gradient direction into a specied force, and identifying random con- stants, memory ...
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Development of Model for Estimation of Radio Refractivity from Meteorological Parameters
... 2 Department of Electrical/Electronic and Computer Engineering University of Uyo, Nigeria Copyright©2019 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of ...
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An evolutionary firefly algorithm for the estimation of nonlinear biological model parameters
... the model output is reliable and consistent with the data ...of parameters. As such, although the errors between the model outputs of the other methods and the data are smaller because of ...
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Estimation of Uniform Static Regression Model with Abruptly Varying Parameters
... estimated parameters’ variance, which raises uncertainty of the sensor condition although it operates ...static model with uniform noise, variance increase is tested and if detected, the model memory ...
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