Total variance explained for unrotated components
Robust joint and individual variance explained
... of components that are shared across all images (joint components) and imparts to the de- picted objects the properties of human ...joint components, an expressive face consists of individual com- ...
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Measures of explained variance and pooling in multilevel models
... measuring explained variance and ...different variance com- ponent at each ...separate variance components rather than to the more usual measurement scales (of which there are two in ...
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Estimation of variance components and breeding values
... According to Russian federal legislation (State order №379 2010) the milk, fat, and protein yields of a cow in lac- tation for at least 240 days can be treated as a 305-day record without correcting for the short ...
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MM Algorithms for Variance Components Models.
... for Variance Components ...the variance from different ...be explained by the genetic ...of variance component models remain numerically ...for variance components ...
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Estimates of Variance Components for Gilt Retention Traits.
... increased chance of rebreeding after weaning their first litter. The authors suggest that heavier gilts are better able to rebreed after their first litter because they have more body reserves. Young, light sows have the ...
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Variance Components of Models of Sudoku Square Design
... Variance components are different sources to the variation in an observation and are commonly estimated in the course of determining sampling design, establishing quality control procedure or in statistical ...
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Components Of Variance, Linear And Canonical Correlation Soybean Cultivars
... of variance components and genetic parameters for evaluation of 20 soybean cultivars in four environments were shown in Table ...to variance components for the FDI trait genetic ...
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Components of the Bid-Ask Spread and Variance: A Unified. Approach
... be explained by order processing costs, while the remaining 50% is roughly equally divided into one part due to asymmetric information and another part due to inventory ...
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VARIANCE COMPONENTS AND SELECTION FOR FEATHER PECKING BEHAVIOR IN LAYING HENS
... scale, total response in line HP was much larger than that in line LP for number of LP bouts and number of FP ...be explained by the fact that the distri- bution of the data was negatively ...
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On the specification of prior distributions for variance components in disease mapping models
... both variance components are very close; nonetheless, GIG priors lead, on average, to smaller posterior standard deviations, and thus to a better identification of the parameter φ (which is notoriously ...
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Estimation of Epistatic Variance Components and Heritability in Founder Populations and Crosses
... have explained only a small proportion of the estimated heritability of complex traits, leaving the remaining heritability ...of variance attributable to genetic interactions, which is difficult to measure ...
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Estimation of additive and dominance variance for litter size components in rabbits
... Like in our study the basic model contained only the additive genetic effects while the extended models also contained the dominance effect. Wei and van der Werf (1993) received consistently lower h 2 estimates under the ...
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Estimation of variance components for carcass and production traits in Guzerat cattle
... Total number of animals in pedigree: 4644. Average inbreeding (%): 0.81 CONCLUSIONS In conclusion, carcass and productive traits of Guzerat cattle analyzed in this study show sufficient genetic variability to ...
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Comparison of REML and MINQUE for Estimated Variance Components and Predicted Random Effects
... Two linear mixed model approaches, MINQUE and REML [2] [3] [9], were applied. In addition, a randomized 10-fold Jackknife technique [21] was integrated with these two linear mixed model approaches. Therefore, four ...
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Monitoring Variance Components
... For use on the manufacturing floor, I propose a different format that is based on the V-mask repre- sentation of CUSUM schemes, which preserves in- formation contained [r] ...
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Confidence intervals for variance components and functions of variance components in the random effects model under non-normality
... CHAPTER 5. CONCLUSION AND FUTURE WORK Over the past several decades, the random effects model has been widely used to model experiments in many different fields. In all of these fields, it is important for researchers ...
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Maximum likelihood estimation of variance components
... the variance components model can be used to describe data arising in fields as diverse as designed experiments in agriculture and observational studies in the social ...of variance components ...
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Likelihood inference for small variance components
... la variance dans le cadre d’un mod` ele lin´ eaire g´ en´ eral mixte sous le postulat de normalit´ ...la variance lorsque celles-ci sont proches de la fronti` ere de l’espace des param` ...
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A NOTE ON ESTIMATION OF VARIANCE COMPONENTS BY MAXIMIZATION
... of variance components in the one-way repeated measurements model (one-way- RMM),which contains one within- units factor incorporating one random effects one between- units factor as well as the ...
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