Assessing and distinguishing between parameter estimates
Assessing Invariance of Factor Structures and Polytomous Item Response Model Parameter Estimates
... covariance between items (Reise, Widaman, & Pugh, ...for assessing measurement invariance because researchers can constrain the pattern/structure coefficients, error scores, and other parameter ...
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Data-driven Simple Thermal Models: The Importance of the Parameter Estimates
... This study focuses on assessing the importance of providing adequate estimates of the model parameters, an area of particular interest [12, 13]. The expected thermal parameters for a typical UK domestic ...
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Data-driven simple thermal models: the importance of the parameter estimates
... This study focuses on assessing the importance of providing adequate estimates of the model parameters, an area of particular interest [12, 13]. The expected thermal parameters for a typical UK domestic ...
6
Assessing GMM Estimates of the Federal Reserve Reaction Function
... the estimates produced by “iterative” and “continuous-updating” GMM differ ...GMM parameter estimates are found to be more imprecise than FIML estimates, especially in the case of ...
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Assessing Reflective Models in Marketing Research: A Comparison Between PLS and PLSc Estimates
... obtained estimates may be meaningless, and the conclusions drawn from them become ...(dG) between the empirical and the model-implied correlation matrix allow the assessment of the global goodness of the ...
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Discontinuous Parameter Estimates with Least Squares Estimators
... Quantitative estimates of the distance between the regularized problem and the original problem are well known for quadratic regularizers while some for total variation are given in ...
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Assessing the Convergence of Iterative Parameter Estimation
... Chapter 2 Convergence In the first chapter, RIFT’s iterative approach was shown to sample a posterior, using a set of points where the likelihood function for the model has been evaluated.(1.28) The posteriors drawn from ...
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A study on the characteristics of rainfall data and its parameter estimates
... discovered between the transitional probabilities and the monthly fraction of wet ...the parameter in the gamma distribution functions used to describe the amount of rainfall, is related to the monthly ...
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Vanilla Classifiers for Distinguishing between Similar Languages
... distinguish between similar languages, however we are still a long way from claiming this task solved and clearly more research is needed in this direction to create robust models that capture linguistic ...
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Genetic parameter estimates for birth and weaning weights in Raeini goats
... covariance between direct and maternal genetic effects may be the result of management ...dependences between direct and maternal ef- fects are determined by ...covariance between direct and maternal ...
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Genetic parameter estimates for weaning weight and Kleiber ratio in goats
... correlations between WW and KR were positive and moderate ...relations between them were positive and of low ...and between traits indicated that offspring of does with superior maternal abilities ...
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Asymptotic Comparison of Parameters Estimates of Two-parameter Weibull Distribution
... choice between the method of moments from Newby (1980) and Weibull probability plot method with regard to the joint asymptotic efficiency depends on the sample size and the value of parameter ...
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Bayesian estimates of parameter variability in the k − ε turbulence model
... VI. RESULTS AND DISCUSSION A. Marginal posterior pdf ’s Calibration of the k − ε model, using the experimental data described in Section IV, and the statistical model of Section V was performed. The marginal posterior ...
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Effect of Adjusting Pseudo-Guessing Parameter Estimates on Test Scaling When Item Parameter Drift Is Present
... Even when using test characteristic curve (TCC) methods (Stocking & Lord, 1983; Haebara, 1980), which use all available item statistics, two unsolved problems remain. First, the scaling coefficients A and B ...
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The use of Kriging in stochastic model updating and its effect on parameter estimates
... matrix between the output and input of the Kriging model is derived and will be used for the covariance calculation by linearisation of the input-output relationship from the Kriging ...derived parameter ...
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A Comparison of Item Parameter Estimates in Pychometrik and the Existing Item Calibration Tool
... grid between 101 and 350 is calculated based on Equation ...item parameter estimates obtained in Pass 1. The item parameter estimate from Pass 2 is used as the “official” item difficulty for ...
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Genetic parameter estimates of body weight traits in Iran-Black sheep
... Selection of the best animals, based on breeding values for body weight traits at different ages, might increase meat production. However, this requires accurate esti- mates of genetic parameters for economic traits. ...
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Parameter redundancy and the existence of maximum likelihood estimates in log linear models
... relationship between different categorical ...is parameter redundant for a pattern of observed zeros in the table, prior to fitting the model to the ...one. Parameter redundant models have a flat ...
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The Importance of Parameter Estimates for Stock-REIT-Bond Optimal Asset Allocation
... Illiquidity can negatively impact asset values and unfavorably affect the realized return. In Amihud & Mendelson’s empirical study, they examined the bid-ask spreads between treasury bills and notes by bundling ...
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Genetic parameter estimates for feet and leg traits in Red Angus cattle
... different between the United States and Italy, as a result muscularity traits are a higher priority in the breeding objectives in Italy due to a primarily yield based meat ...
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