[PDF] Top 20 Estimation and incommutativity in mixed models
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Estimation and incommutativity in mixed models
... the estimation of variance components and estimable vectors in linear mixed models in which the relation matrices may not ...the mixed model in sub-models ... See full document
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GENETIC DIVERSITY IN AUSTRALIAN CEDAR GENOTYPES SELECTED BY MIXED MODELS
... products and by-products has attracted the interest for fast growing species, such as the Australian Cedar (Toona ciliata), which presents high productive and economic ...markers and morphological ... See full document
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Genetic parameters estimation in King palm through a mixed mating system model
... common in palms due to the occurrence of geitonogamy and the absence of self- incompatibility ...a mixed mating system including random cross-pollination and selfing at different ... See full document
6
Bayesian estimation of inefficiency heterogeneity in stochastic frontier models
... observed and unobserved heterogeneity in the ineffi- ciency within a Bayesian ...framework. In particular, we extend the model of Caudill et al. (1995), where in the classical context, ... See full document
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SELECTION MOMENTS AND GENERALIZED METHOD OF MOMENTS FOR HETEROSKEDASTIC MODELS
... moments and the application of the generalized moments method for the hete- roskedastic ...found in the study of the financial market ...efficient estimation of GMM for univariate time series with ... See full document
5
Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
... Engle and Yoo (1987) compare the forecasts generated from an estimated VECM assuming that the lag order and the coin- tegrating rank are known, with those from an estimated VAR in levels with the ... See full document
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Zero-Inflated Mixed Poisson Regression Models
... encountered in literature, especially because the ZIP regression model may not be adequate for some data in which there is evidence of overdispersion after the fit, it is, when the overdispersion ...Famoye ... See full document
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Distance estimation for mixed continuous and categorical data with missing values
... step in solving problems. In machine learning, many algorithms like support vector machines and nearest neighbors depends on distance ...resulting models may have very noisy results caused by ... See full document
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An assessment of the diffuse radiation models for prediction on hourly global radiation in tilted surface
... parametric estimation models in different atmospheric conditions and tilt angles (SOUZA et ...radiation and it has two possibilities to obtain this component: i) the difference method ... See full document
9
Estimation models of variance components for farrowing interval in swine
... still in the intrauterine period, piglets of the same litter have a different space to develop than those of other ...placenta and on the blood flow; the latter, in turn, depends on the number of ... See full document
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Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
... Engle and Yoo (1987) compare the forecasts generated from an estimated vector error correction model (VECM) assuming that the lag order and the cointegrating rank are known, with those from an estimated VAR ... See full document
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GENOTYPE BY ENVIRONMENT INTERACTION IN GREEN COWPEA ANALYZED VIA MIXED MODELS
... (REML/BLUP) mixed model method has been used to study the effects of genotype by environment interaction (G x E) in various crops including ...via mixed models to identify cowpea genotypes ... See full document
11
Bayesian approach, traditional method, and mixed models for multienvironment trials of soybean
... lsmeans, and genotypic mean were the least discrepant ones for magnitude and rank (Tables 4 and 5) because they are methods based on experimental designs used to adjust the means whenever ... See full document
8
Bayesian inference of mixed models in quantitative genetics of crop species
... unbiased estimation), REML/BLUP and Bayesian inference for estimation or prediction of genetic ...breeders in general are interested in tools to increase selection efficiency, it is not ... See full document
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Parental selection in diallel crosses of Jatropha curcas using mixed models
... crosses in an unbalanced scheme were carried out in Jatropha to (i) evaluate the additive and non-additive genetic components; (ii) select parents through the general combining ability; (iii) ... See full document
7
Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
... Engle and Yoo (1987) compare the forecasts generated from an estimated vector error correction model (VECM) assuming that the lag order and the cointegrating rank are known, with those from an estimated VAR ... See full document
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Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
... order and the cointegrating rank are known, with those from an estimated VAR in levels with the correct ...(MSFE) in the long-run. Clements & Hendry (1995) note that Engle and Yoo’s ... See full document
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Rainfall Estimation Models Induced from Ground Station and Satellite Data
... (SMT), and temperature condition index (TCI), generated from environmental satellite can also be used to analyze sufficient/deficient rainfall condition [1], [7], [8], ...present in this paper the ... See full document
6
Genotype x environment interaction in cowpea by mixed models
... Patterson and Thompson (1971) as the optimal procedure for the estimation of components of variance, maximizing the likelihood function of the residuals, instead of the observed data, giving an incidence ... See full document
7
Calibration and the estimation of macroeconomic models
... parameters, and study the effect of calibration by comparing the mean and variance of the distribution in the unrestricted case to the same moments in the restricted case, ...free and ... See full document
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