Analysis of the parameter estimates
How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging
... neuroimage.2016.07.047), we have introduced cross-validated Bayesian model selection (cvBMS) to infer the best model for a group of subjects and use it to guide second-level analysis. While this is the optimal ...
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Comparative Analysis of Dispersion Parameter Estimates in Loglinear Modeling: Applied to E-Commerce Sales and Customer Data
... 6. Discussion Though the negative binomial model is more efficient and fully-defined compared to the moment method, allowing for likelihood ratio tests, moment methods are more robust to issues of extra-dispersion ...
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Globally optimal parameter estimates for nonlinear diffusions
... An appealing feature of the EML algorithm described above is that it circum- vents the iterative process that is ubiquitous in the general EM framework. The in- vertibility of matrix A is, by Proposition 2, equivalent to ...
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Genetic parameter estimates for birth and weaning weights in Raeini goats
... than 10 –8 . In addition, a restart of each analysis was performed with different starting values to avoid convergence to local maxima. To determine the most appropriate model, likelihood ratio tests were used for ...
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Genetic parameter estimates for weaning weight and Kleiber ratio in goats
... Bivariate analysis of three models (Model 1: without maternal genetic effect, Model 2: with maternal genetic effect and am = 0, and Model 3: with maternal genetic effect and am 0) were used to estimate ...
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Comparing Parameter Estimates Obtained by Simulation Study and Real Life Data from the Two-Parameter Gamma Model
... survival analysis. The estimation of the parameters of the two-parameter gamma distribution is of great importance and it has been discussed ...of parameter estimation due its efficiency and good ...
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CiteSeerX — Sensitivity of ABR Congestion Control Algorithms to Hurst Parameter Estimates
... Hurst parameter estimators can be implemented which track non-stationarities which occur in the ...Hurst parameter when resource management algorithms are designed specifically with self-similarity in ...
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A Comparison of Item Parameter Estimates in Pychometrik and the Existing Item Calibration Tool
... 2. Item Calibration Process 2.1. Existing Tool Built with Microsoft’s T-SQL language, the existing item calibration tool can handle the entire item calibration process from within the GRD. Calibration is manually ...
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Genetic parameter estimates of body weight traits in Iran-Black sheep
... t m = 1/4σ 2 a + σ 2 m + c 2 + (m r a,m h) (3) Genetic and phenotypic correlations were estimated using multivariate analysis, applying the most appro- priate models based on the univariate analyses. The fixed ...
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The Importance of Parameter Estimates for Stock-REIT-Bond Optimal Asset Allocation
... Hudson-Wilson, Gordon, Fabozzi, Anson & Giliberto (2005) reassess real estate as an investment strategy to be included in an investor’s portfolio through MVO and net operating income analysis. Anecdotally, they ...
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Genetic parameter estimates for feet and leg traits in Red Angus cattle
... where 𝑌 𝑖 was a vector of observations for trait 1 and trait 2, 𝑋 𝑖 as an incidence matrix relating observations to the fixed effects, 𝛽 𝑖 was a vector of fixed effects for contemporary group and age, 𝑍 𝑖 was an ...
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Modeling Zika Virus Transmission Dynamics: Parameter Estimates, Disease Characteristics, and Prevention
... Our analysis showed that the parameters that can be estimated may vary from Island to Island, suggesting that the parameters estimated based on standard techniques may provide misinformation about the ZIKV ...
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The Influence of Sample Size on Parameter Estimates in Three-Level Random-Effects Models
... compared analysis results with the true population ...effects estimates, whereas higher-level random effects variance estimates require larger ...influence parameter estimation and provide ...
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An ecosystem model of San Pedro Bay, Leyte, Philippines: initial parameter estimates
... basic estimates are shown in Table 4, while a summary of the estimated ecosystem parameter values are presented in Table ...impact analysis for the ecosystem, ...
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Assessing Invariance of Factor Structures and Polytomous Item Response Model Parameter Estimates
... Full-information factor analysis (Jöreskog, 2006) was used to identify the factor structure of the 27 items in the YFCY02 dataset. LISREL 8.0 for Windows was used for the full information factor analysis. ...
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Genetic and phenotypic parameter estimates for body weights and egg production in Horro chicken of Ethiopia
... Where, Y= vector of observations; b = vector of fixed effects of sex and hatch number; a = vector of random direct genetic effects; c = vector of random common environmental effects; e = vector of residual effects; and ...
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Best Parameter Interval for Ridge Estimates by Resampling Method
... regression analysis is very important as the property of the HAT-matrix indicates that ‘apart from 2 the prediction variance, summed over the locations of the data points, equals the number of model parameters ...
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Bayesian estimates of parameter variability in the k − ε turbulence model
... The key step in the method is the calibration of the coefficients. For the calibration phase we follow the work of Cheung et al. 10 , in which a Bayesian approach was applied to the calibration of the Spalart-Allmaras 11 ...
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Model selection and bayes estimates of the parameter for distribution of waiting time to first birth
... data analysis in social sciences are becoming increasingly popular because it offers an easy solution to complex problems where classical solution are either very complicated or sometimes does not provide a ...
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Hardy Space Theory And Endpoint Estimates For Multi-Parameter Singular Radon Transforms
... harmonic analysis and PDEs, and introduced me a variety of very interesting subjects including Multiparameter Fourier analysis and Trudinger-Moser inequali- ...
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