Analysis variable summary with consistency measures
Consistency Among Visual Memory Measures
... repeated-measures analysis of variance was used to explore the main effects of immediate versus delayed recall, the specific visual memory task used (WMS-IV Visual Reproductions, RCFT, and BVMTR), and age ...
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On the consistency theory of high dimensional variable screening
... a variable screening framework by finding a submodel M d = { i : | β ˆ i | is among the largest d coordinates of | β ˆ |} or M γ = { i : | β ˆ i | > γ } ...screening consistency in this ...
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CiteSeerX — Consistency of Bayesian Procedures for Variable Selection
... a consistency analysis where k also grows with n, see Shao ...for variable selection based on intrinsic priors and the expressions of Bayes factors and posterior model ...prove consistency of ...
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Monotonic Variable Consistency Rough Set Approaches
... the analysis of ...from Variable Precision Rough Set (VPRS) model [26,28,29] , Variable Consistency Dominance-based Rough Set Approaches (VC-DRSA) [1,9,10] , Bayesian Rough Set model and Rough ...
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Variable Selection Deviation Measures
... our analysis, we follow the prescreening process in Yang et ...VSD analysis. We also implement the VSD measures on Wisconsin breast cancer dataset (Wol- berg and Mangasarian ...
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Analysis of complex variable processes of elastic-plastic deformation by means of the hierarchical consistency of material models
... Keywords: plasticity, complex loading, multimodel analysis, finite element computations. Introduction The improvement of elastic-plastic constitutive equations is stimulated by continuously increasing requirements ...
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Analysis of repeated measures in clinical trials using summary statistics
... In this subsection an illustrative example will be given on how such prior information might be used at the design stage of a clinical trial to increase the power to detect an effect of a new treatment regimen. To begin ...
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CiteSeerX — Implicit attitude measures: Consistency, stability, and convergent validity
... implicit measures substantially and reliably correlated with the others, demonstrating convergent validity for implicit attitude ...attitude measures were measures of a single latent vari- able, ...
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AGENCY SUMMARY NARRATIVE: PERFORMANCE MEASURES
... 13a, AIR QUALITY – AIR TOXICS - Percent of Oregonians at risk from toxic air pollutants that contribute to cancer. This measure was developed in 2006 based on our best understanding of air toxics assessment tools at the ...
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Consistency of Skinner Box Activity Measures in the domestic Rabbit (Oryctolagus cuniculus)
... ABSTRACT: Consistency of individual differences in several measures of Skinner box operant and other activity and their intercorrelations in 14 chinchilla bred rabbits were ...Reliability analysis ...
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Analysis of sea water infiltration in a sewage treatment plant using Random Forests and variable importance measures
... VIM, variable selection based on tree-based concept of minimal depth statistic and the recent intervention in prediction ...the measures we will explain will be for ...these measures (with the ...
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New measures of Urba Sprawl - A Short Summary
... spatial analysis in that the degree of clumping or dispersion of some type of land cover can be studied on different ...sprawl measures from being dominated by contributions of large ...
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Targeted Estimation of Variable Importance Measures with Interval-Censored Outcomes
... Their analysis both assumed a logistic relationship between variables and outcome, and ignored interval-censoring of clearance by for- ward imputing the clearance outcome to the 2 year ...
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Shape information from glucose curves: Functional data analysis compared with traditional summary measures
... Although FDA or parametric modelling are the most natural approaches to glucose data for the study of glu- cose curves as single entities, there are alternatives to these analyses for the data presented in this article. ...
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Shape information from glucose curves: Functional data analysis compared with traditional summary measures
... component analysis, FPCs may be interpreted and labelled according to the information they exhibit, which in turn can be related to more conventional physiological or clinical ...
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Time-Consistency: from Optimization to Risk Measures
... a summary of the past, hence cannot anticipate the ...proper summary? If, in Problem (3), we had con- sidered policies as functions of past uncertainties (non-anticipativity) and had assumed that the ...
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Consistency of the proposed additive measures of revealed comparative advantage
... Although the RCA indices were shown to be calculated by taking the whole world as the group of reference countries, such an empirical pursuit may not yield sound results, as the countries therein will be quite ...
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Inequality Measures. Chapter. Summary
... i measures years of schooling for individual i, w i is the wage rate, and ε i is an error term that picks up measurement error and the influences of unobserved variables (such as ability, for ...
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Too smart to be selfish? Measures of intelligence, social preferences, and consistency
... We also note that we do not …nd evidence of a systematic a¤ect of gender on social preferences. Previous work has found a relationship between gender and generosity, 22 however our data does not support such a ...
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A consistency framework for macroeconomic analysis
... Public Disclosure Authorized.. from Emerson) that macroeconomists cannot The consistency framework is not itself a model, avoid. Macroeconomic consistency is the which can [r] ...
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