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Comparison of the adjusted R 2 values (MLRs) and variance

Comparison of Turbulent Thermal Diffusivity and Scalar Variance Models

Comparison of Turbulent Thermal Diffusivity and Scalar Variance Models

... Next, we examine the profiles within the flow. Due to the shortcomings of the k −  turbulence model in the curved region, we shall limit the analysis to the last profile location (s=-248mm) along the flat section. ...

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Cumulative prospect theory and mean-variance analysis: a rigorous comparison

Cumulative prospect theory and mean-variance analysis: a rigorous comparison

... rigorous comparison Hens, Thorsten ; Mayer, János Abstract: We propose a numerical optimization approach that can be used to solve portfolio selection problems including several assets and involving objective ...

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A comparison of mean-variance efficiency tests

A comparison of mean-variance efficiency tests

... priori values, even if the assumed conditional distribution is correct, unless the chosen values either imply multivariate normality, in which case such restricted estimators will reduce to the OLS-GMM ...

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Comparison of Variance Estimates in a National Health Survey

Comparison of Variance Estimates in a National Health Survey

... 2 National Center for Health Statistics, Centers for Disease Control and Prevention, 3311 Toledo Road, Hyattsville, MD 20782 Abstract The National Health Interview Survey (NHIS) is one of the major data collection ...

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A Comparison Of Mean-Variance And Mean-Semivariance Optimisation On The JSE

A Comparison Of Mean-Variance And Mean-Semivariance Optimisation On The JSE

... 5. CONCLUSION The resultant output from conducting the above testing suggests that semivariance optimisation does offer a significant benefit in terms of risk adjusted returns. While traditional methods may still ...

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A comparison of measures of preferred processing style: method or trait variance?

A comparison of measures of preferred processing style: method or trait variance?

... Despite the evidence that these measures of processing preference had little in common, the relation of each with the ability measures was still of interest. The exploratory factor analysis suggested that Datsr had ...

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Comparison of variance estimators for meta-analysis of instrumental variable estimates

Comparison of variance estimators for meta-analysis of instrumental variable estimates

... between-study variance or ...and variance estimates will influence the observed heterogeneity, resulting in different modelling choices de- pending on the performance of the ...

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Estimating proportions of explained variance: a comparison of whole genome subsets

Estimating proportions of explained variance: a comparison of whole genome subsets

... of variance captured by a maker set is related not only to the nature of the marker set and the genetic architecture of the trait, but also to the number of genetic markers in the set ...of variance ...

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Comparison of variance estimators for meta-analysis of instrumental variable estimates.

Comparison of variance estimators for meta-analysis of instrumental variable estimates.

... and 2) we wished to prevent influence of non- ...study variance or ...and variance estimates will influence the observed heterogeneity, resulting in different modelling choices depending on the ...

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Visualization of human retinal capillary networks: a comparison of intensity, speckle-variance and phase-variance optical coherence tomography

Visualization of human retinal capillary networks: a comparison of intensity, speckle-variance and phase-variance optical coherence tomography

... and dual-beam Doppler OCT [8,9]. Phase-variance OCT (pvOCT) [10,11] used in this study produces high contrast microcirculation imaging of the retina of healthy and diseased subjects within just a few seconds of ...

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Estimation of variance components and breeding values

Estimation of variance components and breeding values

... The small observed over estimation of milk yield trend in the FLM model and no difference with fat and protein yield trends in comparison to the MLM model can be caused by model and data limitations. Model can be ...

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Adjusted ridge estimator and comparison with Kibria’s method in linear regression

Adjusted ridge estimator and comparison with Kibria’s method in linear regression

... Regression analysis is one of the frequently used tools for fore- casting in almost all disciplines; hence estimation of unknown parameters is a common interest for many users. These esti- mates can be found by various ...

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Estimating variance components and predicting breeding values for eventing disciplines and grades in sport horses

Estimating variance components and predicting breeding values for eventing disciplines and grades in sport horses

... positive values to obtain a positive definite (co)variance ...formal comparison of models could not be conducted; however, estimates from all methods, particularly Methods 2a/2b, were in reasonable ...

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THE EFFECTS OF r- AND K-SELECTION ON COMPONENTS OF VARIANCE FOR TWO QUANTITATIVE TRAITS

THE EFFECTS OF r- AND K-SELECTION ON COMPONENTS OF VARIANCE FOR TWO QUANTITATIVE TRAITS

... Estimates of the additive genetic variance (from comparison of parents and off spring) and chance variance (within parents) were substracted from the total phenoty[r] ...

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Adjusted P Values for Genome-Wide Scans

Adjusted P Values for Genome-Wide Scans

... of adjusted P values and labeling local maxima of the LOD scores with location-specific adjusted P ...yields. Adjusted P values give genome-wide significance of individual LOD scores ...

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Adjusted variance components for unbalanced clustered binary data models

Adjusted variance components for unbalanced clustered binary data models

... I feel very fortunate to have had the opportunity to work with my advisor, Dr. Trent Lalonde. I would like to express my sincere appreciation and admiration for his guidance, being a good support during the course of ...

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Bias Adjusted Estimation for Small Areas with Outlying Values

Bias Adjusted Estimation for Small Areas with Outlying Values

... region) sample sizes were fixed to be the same as in the original sample. The same specification was used by all estimation methods, defined by the main effects and interactions for the Farmarea and SizeZone variables. ...

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Issues of Variance of Extreme Values in a Heterogeneous Teletraffic Environment

Issues of Variance of Extreme Values in a Heterogeneous Teletraffic Environment

... Abstract: The reliability of various teletraffic data-analytical devices in communication systems is relevant to all stakeholders. Among other key external variables, the performance of the network evaluated under a ...

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DOUBLED HAPLOIDS FOR ESTIMATING MEAN AND VARIANCE OF RECOMBINATION VALUES

DOUBLED HAPLOIDS FOR ESTIMATING MEAN AND VARIANCE OF RECOMBINATION VALUES

... The purpose of this paper is to extend the diallel cross analysis involving doubled haploid lines so as to (1) obtain the estimates of additive and additive X additive geneti[r] ...

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Comparison between clinical significance of height-adjusted and weight-adjusted appendicular skeletal muscle mass

Comparison between clinical significance of height-adjusted and weight-adjusted appendicular skeletal muscle mass

... a young group (310 men and 357 women; age, 18–40 years) which served as a basis to define the reference values referred by Baumgartner et al. [2], and a middle-aged and elderly group (273 men and 861 women; ...

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