Regression analyses for the final metamodels
Regression Analyses of Income Inequality Indices
... Johan Fellman Hanken School of Economics, Helsinki, Finland Abstract Scientists have analysed different methods for numerical estimation of Gini coefficients. Using Lorenz curves, various numerical integration attempts ...
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Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses
... standardized regression coefficient β of a bivariate linear regression of Y on X is consistent with H 0 : β $ ...to regression coefficients for stan- dardized ...
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Machine Learning Regression Approach to the Nanophotonic Waveguide Analyses
... Neural networks have a tendency to closely or exactly fit a particular set of data during training, but may fail to predict the future observations reliably, which is known as overfitting. During overfitting, the model ...
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Fractional regression models for second stage DEA efficiency analyses
... a regression model is estimated to relate DEA efficiency scores to exogenous ...fractional regression models are the most natural way of modeling bounded, proportional response variables such as DEA ...
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Trend Analyses Of Rainfall Patterns In Nigeria Using Regression Parameters
... 2007. Regression equations were generated for each of the ten parameters in each ...station. Regression constants a and b were therefore extracted from these ...The regression parameters which are ...
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Deregressing estimated breeding values and weighting information for genomic regression analyses
... This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any ...
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Are the effects of blood pressure lowering treatment diminishing?: meta-regression analyses
... The Brunström and Carlberg paper identified previous systematic reviews on the effect of blood pressure lower- ing from PubMed, the Cochrane Database of Systematic Reviews, and the Database of Abstracts of Reviews of Ef- ...
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Logistic regression analyses of factors affecting fertility of intrauterine adhesions patients
... Postoperative management and follow-up The Foley catheter was removed 3 days after surgery in moderate IUAs and 7 days after for severe IUAs. Patients had monthly ultrasound scans to ensure the position of the IUD was ...
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Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations
... Because the coverage is signi…cantly lower than the prespeci…ed nom- inal value of 90%, we compare Kriging with classic linear regression metamodeling; i.e., we repeat our experiment with second-order polyno- mial ...
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Scaling-law-based metamodels for the sizing of mechatronic systems
... of regression adapted to this form was described and validated on various ...classical metamodels and showed the interest of the physical basis of scaling-law-based metamodels for preliminary sizing ...
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Providing Multidimensional and Geographical Integration Based on a GDW and Metamodels
... In figure 11 (A and B), after having received the request parameters sent by the GMLA WS Client, the GMLA WS Server performs the multidimensional request (total of the product sales, classifying by the product category ...
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Application and Integration of Multiple Linear Regression and Linear Programming in Renewable Resource Analyses.
... The objective function and constraints of fhe linear programming model for determination of site characteristics (Xi) for optimum crude protein yield (Y 1. Also, th[r] ...
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Using Dual Regression to Investigate Network Shape and Amplitude in Functional Connectivity Analyses
... In this report, we investigate the use of FSL’s group ICA with dual regression (GICA-DR) approach for assessing group/condition differences in functional connectivity. In contrast to group SBCA, there is no need ...
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A modified regression method to test publication bias in meta-analyses with binary outcomes
... plot regression [11], Harbord’s score test [14], Peters’ test [12,17], and Rucker’s arcsine transformed tests [15]) is a reduction in the intrinsic asso- ciation between the estimated effect size and its estimated ...
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Using Dual Regression to Investigate Network Shape and Amplitude in Functional Connectivity Analyses
... other regression techniques, on the other hand, retain magnitude information and therefore can be sensitive to both changes in the spatially distributed nature of correlations (differences in the spatial pattern ...
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An MDA approach for developing Secure OLAP applications: metamodels and transformations
... aspects, independently of the particular end-user OLAP tool to be used. This model can thus be employed to generate automatically the final implementation for a specific tool through transformations. Taking all ...
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Signal-Based Metamodels for Predictive Reliability Analysis and Virtual Testing
... Further developments are planned which will fo- cus on more detailed model assessment and model improvement, locally in the time and parameter space. The range of application for this procedure is not lim- ited to the ...
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Constructing Multivariate Simulation Metamodels for Supporting Supply Chain Management
... Shang et al. (2004) choose L27 Taguchi design for controllable factors. Chwif, Barretto, and Saliby (2002) compare spreadsheet-based and simulation-based tools in the analysis of a supply chain system. They conclude that ...
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Global sensitivity analysis of stochastic computer models with joint metamodels
... To approximate stochastic computer codes by meta- models, the simplest way is to model the mean and dispersion (i.e. the variance) of computer code out- puts by two polynomial linear-regression models. This is ...
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Inconsistent treatment estimates from mis-specified logistic regression analyses of randomized trials
... While the qualitative effect on the treatment estimator of including more baseline variables in a logistic regression has been appreciated for some time, the current paper provides a quantitative assessment of the ...
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