Statistical models in the breeding value evaluation
Breeding value evaluation in Polish fur animals: Statistical description of fur coat and reproduction traits – relationship and inbreeding
... However, only a few studies have been carried out on how much genetic response is lost by ignoring inbreeding. An interesting study was conducted by Mehrabani-Yeganeh et al. (2000), who used stochas- tic simulation to ...
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Regulatory Evaluation of Value-at-Risk Models
... percentile region of f mt , focusses on a fixed magnitude of portfolio loss. That is, regulators may be interested in determining how well a VaR model can forecast a portfolio loss of q% of y t over a one-day period. The ...
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Establishing value mappings using statistical models and user feedback
... the value mapping prob- lem to locate matching pairs of values from two input data- base ...the statistical dependency model among values (e.g., value co- occurrence frequency or entropy) as the ...
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Evaluation of climate variability performances using statistical climate models
... climate models with varies methods and purposes have been developed to generate the local weather scenarios with considered the greenhouse gasses ( GHG s) effect provided by General Circulation Models ( GCM ...
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On the Development of Statistical Modeling in Plant Breeding: An Approach of Row-Column Interaction Models (RCIM) For Generalized AMMI Models with Deviance Analysis
... Singular Value Decomposition (SVD) of the interaction ...Interaction Models (RCIMs) for the GEI by VGAM package of an R implementation with an addition on the deviance ...some statistical framework ...
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Prospects for statistical methods in dairy cattle breeding
... future statistical needs. These included methods for test day models, international comparisons, non additive variance, non-linear models and individual gene ...
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Abbreviation key: NS = natural service breeding system, AI = artificial insemination, BV = breeding value, RBV = relative breeding value
... Milk production traits: In the Czech Republic there are two separate evaluations of breeding values - for Holstein population and Czech Fleckvieh population. In the model for Holstein breed there are cows included ...
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The construction and evaluation of statistical models of melodic structure in music perception and composition
... Empirical research has demonstrated that some collection of principles based on the bottom-up IR sys- tem can generally account rather well for the patterns of expectation observed i[r] ...
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Forecasting With Statistical Models
... All measures of forecast accuracy compare the values forecast by the models with those that actually were observed. The difference between the actual and the forecast values is the forecast error. Forecast errors ...
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Variations of Statistical Models
... A potential difficulty with unified intervals arises if, for example, one constructs such an interval for a Poisson parameter s of some yet to be discovered signal process with, say, 1 − α = 0.9. If the true signal ...
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Estimation of probability distribution on multiple anatomical objects and evaluation of statistical shape models
... 4.4.5 Segmentation of Male-Pelvis Model A set of training models were obtained from male-pelvis CT images of real patients taken over a series of days who underwent radiotherapy. Three organs, namely the bladder, ...
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Simpler Is Better: Re-evaluation of Default Word Alignment Models in Statistical MT
... alignment models currently considered to be default (the so-called IBM models and HMM-based alignment) have been evaluated using the alignment error ...alignment models. Here we show that not only do ...
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Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers
... lower statistical losses than most individual ...the statistical evaluation of models indicates that second–moment modeling, and not only seasonality, is important; in fact either the ...
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Argument to use Both Statistical and Graphical Evaluation Techniques in Groundwater Models Assessment
... To simplify the concept, it is important to generate mathematical relation which can describe more easily the model. Then comes the need to use graphical techniques. From the graphical residual analysis it is seen that ...
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The application of visual saliency models in objective image quality assessment: a statistical evaluation
... added value of the computational saliency in IQMs is mainly focused on the extension of a specific IQM with a specific saliency model; a map derived from an IQM that represents the spatial distribution of image ...
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Improved models for the prediction of breeding values in trees
... inflated breeding value ...between breeding values was high, but the offspring breeding values were deflated and parental breeding values were ...
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Breeding value evaluation in Polish fur animals: Factors affecting pelt prices in the international trading system
... linear models (Model 1 – with- out interactions between main effects, Model 2 – with interactions between main ...the models using the REML and VARCOMP ...
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Value at Risk Models in Indian Markets: A Predictive Ability Evaluation Study
... Risk is an important element when evaluating the effectiveness of business oper- ations. A Risk management plan can help a firm identify future losses, opera- tional inefficiencies, reduce uncertainty and ultimately ...
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Evaluation of Hedge Fund Returns Value at Risk Using GARCH Models
... return. It assumes that the distribution of returns will remain the same in the past and in the future. While these methods have a real contribution, they are not forward-locking and not adapted to capture hedge fund ...
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Statistical approaches in QTL mapping and molecular breeding for complex traits
... to statistical epistasis varied from zero to very high ...QTL models can ob- jectively describe the context of complex traits, and accu- rate results from QTL mapping could be anticipated using this ...
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